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Helsinki-NLP/opus-mt-en-pap | 2021-01-18T08:14:12.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"pap",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 41 | transformers | ---
tags:
- translation
---
### opus-mt-en-pap
* source languages: en
* target languages: pap
* OPUS readme: [en-pap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-pap/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-pap/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pap/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pap/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.pap | 40.1 | 0.586 |
| Tatoeba.en.pap | 52.8 | 0.665 |
|
Helsinki-NLP/opus-mt-en-phi | 2021-01-18T08:14:18.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"phi",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 39 | transformers | ---
language:
- en
- phi
tags:
- translation
license: apache-2.0
---
### eng-phi
* source group: English
* target group: Philippine languages
* OPUS readme: [eng-phi](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-phi/README.md)
* model: transformer
* source language(s): eng
* target language(s): akl_Latn ceb hil ilo pag war
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-akl.eng.akl | 7.1 | 0.245 |
| Tatoeba-test.eng-ceb.eng.ceb | 10.5 | 0.435 |
| Tatoeba-test.eng-hil.eng.hil | 18.0 | 0.506 |
| Tatoeba-test.eng-ilo.eng.ilo | 33.4 | 0.590 |
| Tatoeba-test.eng.multi | 13.1 | 0.392 |
| Tatoeba-test.eng-pag.eng.pag | 19.4 | 0.481 |
| Tatoeba-test.eng-war.eng.war | 12.8 | 0.441 |
### System Info:
- hf_name: eng-phi
- source_languages: eng
- target_languages: phi
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-phi/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'phi']
- src_constituents: {'eng'}
- tgt_constituents: {'ilo', 'akl_Latn', 'war', 'hil', 'pag', 'ceb'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: phi
- short_pair: en-phi
- chrF2_score: 0.392
- bleu: 13.1
- brevity_penalty: 1.0
- ref_len: 30022.0
- src_name: English
- tgt_name: Philippine languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: phi
- prefer_old: False
- long_pair: eng-phi
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-pis | 2021-01-18T08:14:24.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"pis",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 64 | transformers | ---
tags:
- translation
---
### opus-mt-en-pis
* source languages: en
* target languages: pis
* OPUS readme: [en-pis](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-pis/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-pis/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pis/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pis/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.pis | 38.3 | 0.571 |
|
Helsinki-NLP/opus-mt-en-pon | 2021-01-18T08:14:30.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"pon",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 69 | transformers | ---
tags:
- translation
---
### opus-mt-en-pon
* source languages: en
* target languages: pon
* OPUS readme: [en-pon](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-pon/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-pon/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pon/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pon/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.pon | 32.4 | 0.542 |
|
Helsinki-NLP/opus-mt-en-poz | 2021-01-18T08:14:37.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"poz",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 33 | transformers | ---
language:
- en
- poz
tags:
- translation
license: apache-2.0
---
### eng-poz
* source group: English
* target group: Malayo-Polynesian languages
* OPUS readme: [eng-poz](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-poz/README.md)
* model: transformer
* source language(s): eng
* target language(s): akl_Latn ceb cha dtp fij gil haw hil iba ilo ind jav jav_Java lkt mad mah max_Latn min mlg mri nau niu pag pau rap smo sun tah tet tmw_Latn ton tvl war zlm_Latn zsm_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-akl.eng.akl | 1.3 | 0.086 |
| Tatoeba-test.eng-ceb.eng.ceb | 10.2 | 0.426 |
| Tatoeba-test.eng-cha.eng.cha | 1.9 | 0.196 |
| Tatoeba-test.eng-dtp.eng.dtp | 0.4 | 0.121 |
| Tatoeba-test.eng-fij.eng.fij | 31.0 | 0.463 |
| Tatoeba-test.eng-gil.eng.gil | 45.4 | 0.635 |
| Tatoeba-test.eng-haw.eng.haw | 0.6 | 0.104 |
| Tatoeba-test.eng-hil.eng.hil | 14.4 | 0.498 |
| Tatoeba-test.eng-iba.eng.iba | 17.4 | 0.414 |
| Tatoeba-test.eng-ilo.eng.ilo | 33.1 | 0.585 |
| Tatoeba-test.eng-jav.eng.jav | 6.5 | 0.309 |
| Tatoeba-test.eng-lkt.eng.lkt | 0.5 | 0.065 |
| Tatoeba-test.eng-mad.eng.mad | 1.7 | 0.156 |
| Tatoeba-test.eng-mah.eng.mah | 12.7 | 0.391 |
| Tatoeba-test.eng-mlg.eng.mlg | 30.3 | 0.504 |
| Tatoeba-test.eng-mri.eng.mri | 8.2 | 0.316 |
| Tatoeba-test.eng-msa.eng.msa | 30.4 | 0.561 |
| Tatoeba-test.eng.multi | 16.2 | 0.410 |
| Tatoeba-test.eng-nau.eng.nau | 0.6 | 0.087 |
| Tatoeba-test.eng-niu.eng.niu | 33.2 | 0.482 |
| Tatoeba-test.eng-pag.eng.pag | 19.4 | 0.555 |
| Tatoeba-test.eng-pau.eng.pau | 1.0 | 0.124 |
| Tatoeba-test.eng-rap.eng.rap | 1.4 | 0.090 |
| Tatoeba-test.eng-smo.eng.smo | 12.9 | 0.407 |
| Tatoeba-test.eng-sun.eng.sun | 15.5 | 0.364 |
| Tatoeba-test.eng-tah.eng.tah | 9.5 | 0.295 |
| Tatoeba-test.eng-tet.eng.tet | 1.2 | 0.146 |
| Tatoeba-test.eng-ton.eng.ton | 23.7 | 0.484 |
| Tatoeba-test.eng-tvl.eng.tvl | 32.5 | 0.549 |
| Tatoeba-test.eng-war.eng.war | 12.6 | 0.432 |
### System Info:
- hf_name: eng-poz
- source_languages: eng
- target_languages: poz
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-poz/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'poz']
- src_constituents: {'eng'}
- tgt_constituents: set()
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.test.txt
- src_alpha3: eng
- tgt_alpha3: poz
- short_pair: en-poz
- chrF2_score: 0.41
- bleu: 16.2
- brevity_penalty: 1.0
- ref_len: 66803.0
- src_name: English
- tgt_name: Malayo-Polynesian languages
- train_date: 2020-07-27
- src_alpha2: en
- tgt_alpha2: poz
- prefer_old: False
- long_pair: eng-poz
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-pqe | 2021-01-18T08:14:43.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"fj",
"mi",
"ty",
"to",
"na",
"sm",
"mh",
"pqe",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 36 | transformers | ---
language:
- en
- fj
- mi
- ty
- to
- na
- sm
- mh
- pqe
tags:
- translation
license: apache-2.0
---
### eng-pqe
* source group: English
* target group: Eastern Malayo-Polynesian languages
* OPUS readme: [eng-pqe](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-pqe/README.md)
* model: transformer
* source language(s): eng
* target language(s): fij gil haw lkt mah mri nau niu rap smo tah ton tvl
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-fij.eng.fij | 22.1 | 0.396 |
| Tatoeba-test.eng-gil.eng.gil | 41.9 | 0.673 |
| Tatoeba-test.eng-haw.eng.haw | 0.6 | 0.114 |
| Tatoeba-test.eng-lkt.eng.lkt | 0.5 | 0.075 |
| Tatoeba-test.eng-mah.eng.mah | 9.7 | 0.386 |
| Tatoeba-test.eng-mri.eng.mri | 7.7 | 0.301 |
| Tatoeba-test.eng.multi | 11.3 | 0.306 |
| Tatoeba-test.eng-nau.eng.nau | 0.5 | 0.071 |
| Tatoeba-test.eng-niu.eng.niu | 42.5 | 0.560 |
| Tatoeba-test.eng-rap.eng.rap | 3.3 | 0.122 |
| Tatoeba-test.eng-smo.eng.smo | 27.0 | 0.462 |
| Tatoeba-test.eng-tah.eng.tah | 11.3 | 0.307 |
| Tatoeba-test.eng-ton.eng.ton | 27.0 | 0.528 |
| Tatoeba-test.eng-tvl.eng.tvl | 29.3 | 0.513 |
### System Info:
- hf_name: eng-pqe
- source_languages: eng
- target_languages: pqe
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-pqe/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'fj', 'mi', 'ty', 'to', 'na', 'sm', 'mh', 'pqe']
- src_constituents: {'eng'}
- tgt_constituents: {'haw', 'gil', 'rap', 'fij', 'tvl', 'mri', 'tah', 'niu', 'ton', 'nau', 'smo', 'mah'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: pqe
- short_pair: en-pqe
- chrF2_score: 0.306
- bleu: 11.3
- brevity_penalty: 1.0
- ref_len: 5786.0
- src_name: English
- tgt_name: Eastern Malayo-Polynesian languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: pqe
- prefer_old: False
- long_pair: eng-pqe
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-pqw | 2021-01-18T08:14:49.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"pqw",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 34 | transformers | ---
language:
- en
- pqw
tags:
- translation
license: apache-2.0
---
### eng-pqw
* source group: English
* target group: Western Malayo-Polynesian languages
* OPUS readme: [eng-pqw](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-pqw/README.md)
* model: transformer
* source language(s): eng
* target language(s): akl_Latn ceb cha dtp hil iba ilo ind jav jav_Java mad max_Latn min mlg pag pau sun tmw_Latn war zlm_Latn zsm_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-akl.eng.akl | 3.0 | 0.143 |
| Tatoeba-test.eng-ceb.eng.ceb | 11.4 | 0.432 |
| Tatoeba-test.eng-cha.eng.cha | 1.4 | 0.189 |
| Tatoeba-test.eng-dtp.eng.dtp | 0.6 | 0.139 |
| Tatoeba-test.eng-hil.eng.hil | 17.7 | 0.525 |
| Tatoeba-test.eng-iba.eng.iba | 14.6 | 0.365 |
| Tatoeba-test.eng-ilo.eng.ilo | 34.0 | 0.590 |
| Tatoeba-test.eng-jav.eng.jav | 6.2 | 0.299 |
| Tatoeba-test.eng-mad.eng.mad | 2.6 | 0.154 |
| Tatoeba-test.eng-mlg.eng.mlg | 34.3 | 0.518 |
| Tatoeba-test.eng-msa.eng.msa | 31.1 | 0.561 |
| Tatoeba-test.eng.multi | 17.5 | 0.422 |
| Tatoeba-test.eng-pag.eng.pag | 19.8 | 0.507 |
| Tatoeba-test.eng-pau.eng.pau | 1.2 | 0.129 |
| Tatoeba-test.eng-sun.eng.sun | 30.3 | 0.418 |
| Tatoeba-test.eng-war.eng.war | 12.6 | 0.439 |
### System Info:
- hf_name: eng-pqw
- source_languages: eng
- target_languages: pqw
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-pqw/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'pqw']
- src_constituents: {'eng'}
- tgt_constituents: set()
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: pqw
- short_pair: en-pqw
- chrF2_score: 0.42200000000000004
- bleu: 17.5
- brevity_penalty: 1.0
- ref_len: 66758.0
- src_name: English
- tgt_name: Western Malayo-Polynesian languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: pqw
- prefer_old: False
- long_pair: eng-pqw
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-rn | 2021-01-18T08:14:53.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"rn",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 37 | transformers | ---
language:
- en
- rn
tags:
- translation
license: apache-2.0
---
### eng-run
* source group: English
* target group: Rundi
* OPUS readme: [eng-run](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-run/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): run
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.run | 10.4 | 0.436 |
### System Info:
- hf_name: eng-run
- source_languages: eng
- target_languages: run
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-run/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'rn']
- src_constituents: {'eng'}
- tgt_constituents: {'run'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.test.txt
- src_alpha3: eng
- tgt_alpha3: run
- short_pair: en-rn
- chrF2_score: 0.436
- bleu: 10.4
- brevity_penalty: 1.0
- ref_len: 6710.0
- src_name: English
- tgt_name: Rundi
- train_date: 2020-06-16
- src_alpha2: en
- tgt_alpha2: rn
- prefer_old: False
- long_pair: eng-run
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-rnd | 2021-01-18T08:14:59.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"rnd",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 50 | transformers | ---
tags:
- translation
---
### opus-mt-en-rnd
* source languages: en
* target languages: rnd
* OPUS readme: [en-rnd](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-rnd/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-rnd/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-rnd/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-rnd/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.rnd | 34.5 | 0.571 |
|
Helsinki-NLP/opus-mt-en-ro | 2021-01-18T08:15:05.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ro",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 5,339 | transformers | ---
tags:
- translation
---
### opus-mt-en-ro
* source languages: en
* target languages: ro
* OPUS readme: [en-ro](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ro/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ro/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ro/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ro/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2016-enro.en.ro | 30.8 | 0.592 |
| newstest2016-enro.en.ro | 28.8 | 0.571 |
| Tatoeba.en.ro | 45.3 | 0.670 |
|
Helsinki-NLP/opus-mt-en-roa | 2021-01-18T08:15:13.000Z | [
"pytorch",
"rust",
"marian",
"seq2seq",
"en",
"it",
"ca",
"rm",
"es",
"ro",
"gl",
"co",
"wa",
"pt",
"oc",
"an",
"id",
"fr",
"ht",
"roa",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"rust_model.ot",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 874 | transformers | ---
language:
- en
- it
- ca
- rm
- es
- ro
- gl
- co
- wa
- pt
- oc
- an
- id
- fr
- ht
- roa
tags:
- translation
license: apache-2.0
---
### eng-roa
* source group: English
* target group: Romance languages
* OPUS readme: [eng-roa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-roa/README.md)
* model: transformer
* source language(s): eng
* target language(s): arg ast cat cos egl ext fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lij lld_Latn lmo max_Latn mfe min mwl oci pap pms por roh ron scn spa tmw_Latn vec wln zlm_Latn zsm_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-roa/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-roa/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-roa/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2016-enro-engron.eng.ron | 27.6 | 0.567 |
| newsdiscussdev2015-enfr-engfra.eng.fra | 30.2 | 0.575 |
| newsdiscusstest2015-enfr-engfra.eng.fra | 35.5 | 0.612 |
| newssyscomb2009-engfra.eng.fra | 27.9 | 0.570 |
| newssyscomb2009-engita.eng.ita | 29.3 | 0.590 |
| newssyscomb2009-engspa.eng.spa | 29.6 | 0.570 |
| news-test2008-engfra.eng.fra | 25.2 | 0.538 |
| news-test2008-engspa.eng.spa | 27.3 | 0.548 |
| newstest2009-engfra.eng.fra | 26.9 | 0.560 |
| newstest2009-engita.eng.ita | 28.7 | 0.583 |
| newstest2009-engspa.eng.spa | 29.0 | 0.568 |
| newstest2010-engfra.eng.fra | 29.3 | 0.574 |
| newstest2010-engspa.eng.spa | 34.2 | 0.601 |
| newstest2011-engfra.eng.fra | 31.4 | 0.592 |
| newstest2011-engspa.eng.spa | 35.0 | 0.599 |
| newstest2012-engfra.eng.fra | 29.5 | 0.576 |
| newstest2012-engspa.eng.spa | 35.5 | 0.603 |
| newstest2013-engfra.eng.fra | 29.9 | 0.567 |
| newstest2013-engspa.eng.spa | 32.1 | 0.578 |
| newstest2016-enro-engron.eng.ron | 26.1 | 0.551 |
| Tatoeba-test.eng-arg.eng.arg | 1.4 | 0.125 |
| Tatoeba-test.eng-ast.eng.ast | 17.8 | 0.406 |
| Tatoeba-test.eng-cat.eng.cat | 48.3 | 0.676 |
| Tatoeba-test.eng-cos.eng.cos | 3.2 | 0.275 |
| Tatoeba-test.eng-egl.eng.egl | 0.2 | 0.084 |
| Tatoeba-test.eng-ext.eng.ext | 11.2 | 0.344 |
| Tatoeba-test.eng-fra.eng.fra | 45.3 | 0.637 |
| Tatoeba-test.eng-frm.eng.frm | 1.1 | 0.221 |
| Tatoeba-test.eng-gcf.eng.gcf | 0.6 | 0.118 |
| Tatoeba-test.eng-glg.eng.glg | 44.2 | 0.645 |
| Tatoeba-test.eng-hat.eng.hat | 28.0 | 0.502 |
| Tatoeba-test.eng-ita.eng.ita | 45.6 | 0.674 |
| Tatoeba-test.eng-lad.eng.lad | 8.2 | 0.322 |
| Tatoeba-test.eng-lij.eng.lij | 1.4 | 0.182 |
| Tatoeba-test.eng-lld.eng.lld | 0.8 | 0.217 |
| Tatoeba-test.eng-lmo.eng.lmo | 0.7 | 0.190 |
| Tatoeba-test.eng-mfe.eng.mfe | 91.9 | 0.956 |
| Tatoeba-test.eng-msa.eng.msa | 31.1 | 0.548 |
| Tatoeba-test.eng.multi | 42.9 | 0.636 |
| Tatoeba-test.eng-mwl.eng.mwl | 2.1 | 0.234 |
| Tatoeba-test.eng-oci.eng.oci | 7.9 | 0.297 |
| Tatoeba-test.eng-pap.eng.pap | 44.1 | 0.648 |
| Tatoeba-test.eng-pms.eng.pms | 2.1 | 0.190 |
| Tatoeba-test.eng-por.eng.por | 41.8 | 0.639 |
| Tatoeba-test.eng-roh.eng.roh | 3.5 | 0.261 |
| Tatoeba-test.eng-ron.eng.ron | 41.0 | 0.635 |
| Tatoeba-test.eng-scn.eng.scn | 1.7 | 0.184 |
| Tatoeba-test.eng-spa.eng.spa | 50.1 | 0.689 |
| Tatoeba-test.eng-vec.eng.vec | 3.2 | 0.248 |
| Tatoeba-test.eng-wln.eng.wln | 7.2 | 0.220 |
### System Info:
- hf_name: eng-roa
- source_languages: eng
- target_languages: roa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-roa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'it', 'ca', 'rm', 'es', 'ro', 'gl', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'roa']
- src_constituents: {'eng'}
- tgt_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'lmo', 'mwl', 'lij', 'lad_Latn', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-roa/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-roa/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: roa
- short_pair: en-roa
- chrF2_score: 0.636
- bleu: 42.9
- brevity_penalty: 0.978
- ref_len: 72751.0
- src_name: English
- tgt_name: Romance languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: roa
- prefer_old: False
- long_pair: eng-roa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-ru | 2021-01-18T08:15:18.000Z | [
"pytorch",
"rust",
"marian",
"seq2seq",
"en",
"ru",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"rust_model.ot",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 3,243 | transformers | ---
tags:
- translation
---
### opus-mt-en-ru
* source languages: en
* target languages: ru
* OPUS readme: [en-ru](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ru/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-11.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ru/opus-2020-02-11.zip)
* test set translations: [opus-2020-02-11.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ru/opus-2020-02-11.test.txt)
* test set scores: [opus-2020-02-11.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ru/opus-2020-02-11.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newstest2012.en.ru | 31.1 | 0.581 |
| newstest2013.en.ru | 23.5 | 0.513 |
| newstest2015-enru.en.ru | 27.5 | 0.564 |
| newstest2016-enru.en.ru | 26.4 | 0.548 |
| newstest2017-enru.en.ru | 29.1 | 0.572 |
| newstest2018-enru.en.ru | 25.4 | 0.554 |
| newstest2019-enru.en.ru | 27.1 | 0.533 |
| Tatoeba.en.ru | 48.4 | 0.669 |
|
Helsinki-NLP/opus-mt-en-run | 2021-01-18T08:15:24.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"run",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 57 | transformers | ---
tags:
- translation
---
### opus-mt-en-run
* source languages: en
* target languages: run
* OPUS readme: [en-run](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-run/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-run/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-run/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-run/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.run | 34.2 | 0.591 |
|
Helsinki-NLP/opus-mt-en-rw | 2021-01-18T08:15:30.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"rw",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 58 | transformers | ---
tags:
- translation
---
### opus-mt-en-rw
* source languages: en
* target languages: rw
* OPUS readme: [en-rw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-rw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-rw/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-rw/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-rw/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.rw | 33.3 | 0.569 |
| Tatoeba.en.rw | 13.8 | 0.503 |
|
Helsinki-NLP/opus-mt-en-sal | 2021-01-18T08:15:34.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"sal",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 38 | transformers | ---
language:
- en
- sal
tags:
- translation
license: apache-2.0
---
### eng-sal
* source group: English
* target group: Salishan languages
* OPUS readme: [eng-sal](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sal/README.md)
* model: transformer
* source language(s): eng
* target language(s): shs_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-14.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sal/opus-2020-07-14.zip)
* test set translations: [opus-2020-07-14.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sal/opus-2020-07-14.test.txt)
* test set scores: [opus-2020-07-14.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sal/opus-2020-07-14.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.multi | 32.6 | 0.585 |
| Tatoeba-test.eng.shs | 1.1 | 0.072 |
| Tatoeba-test.eng-shs.eng.shs | 1.2 | 0.065 |
### System Info:
- hf_name: eng-sal
- source_languages: eng
- target_languages: sal
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sal/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'sal']
- src_constituents: {'eng'}
- tgt_constituents: {'shs_Latn'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sal/opus-2020-07-14.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sal/opus-2020-07-14.test.txt
- src_alpha3: eng
- tgt_alpha3: sal
- short_pair: en-sal
- chrF2_score: 0.07200000000000001
- bleu: 1.1
- brevity_penalty: 1.0
- ref_len: 199.0
- src_name: English
- tgt_name: Salishan languages
- train_date: 2020-07-14
- src_alpha2: en
- tgt_alpha2: sal
- prefer_old: False
- long_pair: eng-sal
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-sem | 2021-01-18T08:15:41.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"mt",
"ar",
"he",
"ti",
"am",
"sem",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 37 | transformers | ---
language:
- en
- mt
- ar
- he
- ti
- am
- sem
tags:
- translation
license: apache-2.0
---
### eng-sem
* source group: English
* target group: Semitic languages
* OPUS readme: [eng-sem](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sem/README.md)
* model: transformer
* source language(s): eng
* target language(s): acm afb amh apc ara arq ary arz heb mlt tir
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-amh.eng.amh | 11.2 | 0.480 |
| Tatoeba-test.eng-ara.eng.ara | 12.7 | 0.417 |
| Tatoeba-test.eng-heb.eng.heb | 33.8 | 0.564 |
| Tatoeba-test.eng-mlt.eng.mlt | 18.7 | 0.554 |
| Tatoeba-test.eng.multi | 23.5 | 0.486 |
| Tatoeba-test.eng-tir.eng.tir | 2.7 | 0.248 |
### System Info:
- hf_name: eng-sem
- source_languages: eng
- target_languages: sem
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sem/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'mt', 'ar', 'he', 'ti', 'am', 'sem']
- src_constituents: {'eng'}
- tgt_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: sem
- short_pair: en-sem
- chrF2_score: 0.486
- bleu: 23.5
- brevity_penalty: 1.0
- ref_len: 59258.0
- src_name: English
- tgt_name: Semitic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: sem
- prefer_old: False
- long_pair: eng-sem
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-sg | 2021-01-18T08:15:47.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"sg",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 39 | transformers | ---
tags:
- translation
---
### opus-mt-en-sg
* source languages: en
* target languages: sg
* OPUS readme: [en-sg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sg/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sg/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sg/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.sg | 37.0 | 0.544 |
|
Helsinki-NLP/opus-mt-en-sit | 2021-01-18T08:15:53.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"sit",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 29 | transformers | ---
language:
- en
- sit
tags:
- translation
license: apache-2.0
---
### eng-sit
* source group: English
* target group: Sino-Tibetan languages
* OPUS readme: [eng-sit](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sit/README.md)
* model: transformer
* source language(s): eng
* target language(s): bod brx brx_Latn cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant gan lzh lzh_Hans mya nan wuu yue yue_Hans yue_Hant zho zho_Hans zho_Hant
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sit/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sit/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sit/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2017-enzh-engzho.eng.zho | 23.5 | 0.217 |
| newstest2017-enzh-engzho.eng.zho | 23.2 | 0.223 |
| newstest2018-enzh-engzho.eng.zho | 25.0 | 0.230 |
| newstest2019-enzh-engzho.eng.zho | 20.2 | 0.225 |
| Tatoeba-test.eng-bod.eng.bod | 0.4 | 0.147 |
| Tatoeba-test.eng-brx.eng.brx | 0.5 | 0.012 |
| Tatoeba-test.eng.multi | 25.7 | 0.223 |
| Tatoeba-test.eng-mya.eng.mya | 0.2 | 0.222 |
| Tatoeba-test.eng-zho.eng.zho | 29.2 | 0.249 |
### System Info:
- hf_name: eng-sit
- source_languages: eng
- target_languages: sit
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sit/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'sit']
- src_constituents: {'eng'}
- tgt_constituents: set()
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sit/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sit/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: sit
- short_pair: en-sit
- chrF2_score: 0.223
- bleu: 25.7
- brevity_penalty: 0.907
- ref_len: 109538.0
- src_name: English
- tgt_name: Sino-Tibetan languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: sit
- prefer_old: False
- long_pair: eng-sit
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-sk | 2021-01-18T08:15:59.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"sk",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 426 | transformers | ---
tags:
- translation
---
### opus-mt-en-sk
* source languages: en
* target languages: sk
* OPUS readme: [en-sk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sk/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sk/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sk/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sk/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.sk | 36.8 | 0.578 |
|
Helsinki-NLP/opus-mt-en-sla | 2021-01-18T08:16:05.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"be",
"hr",
"mk",
"cs",
"ru",
"pl",
"bg",
"uk",
"sl",
"sla",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 93 | transformers | ---
language:
- en
- be
- hr
- mk
- cs
- ru
- pl
- bg
- uk
- sl
- sla
tags:
- translation
license: apache-2.0
---
### eng-sla
* source group: English
* target group: Slavic languages
* OPUS readme: [eng-sla](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sla/README.md)
* model: transformer
* source language(s): eng
* target language(s): bel bel_Latn bos_Latn bul bul_Latn ces csb_Latn dsb hrv hsb mkd orv_Cyrl pol rue rus slv srp_Cyrl srp_Latn ukr
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-engces.eng.ces | 20.1 | 0.484 |
| news-test2008-engces.eng.ces | 17.7 | 0.461 |
| newstest2009-engces.eng.ces | 19.1 | 0.479 |
| newstest2010-engces.eng.ces | 19.3 | 0.483 |
| newstest2011-engces.eng.ces | 20.4 | 0.486 |
| newstest2012-engces.eng.ces | 18.3 | 0.461 |
| newstest2012-engrus.eng.rus | 27.4 | 0.551 |
| newstest2013-engces.eng.ces | 21.5 | 0.489 |
| newstest2013-engrus.eng.rus | 20.9 | 0.490 |
| newstest2015-encs-engces.eng.ces | 21.1 | 0.496 |
| newstest2015-enru-engrus.eng.rus | 24.5 | 0.536 |
| newstest2016-encs-engces.eng.ces | 23.6 | 0.515 |
| newstest2016-enru-engrus.eng.rus | 23.0 | 0.519 |
| newstest2017-encs-engces.eng.ces | 19.2 | 0.474 |
| newstest2017-enru-engrus.eng.rus | 25.0 | 0.541 |
| newstest2018-encs-engces.eng.ces | 19.3 | 0.479 |
| newstest2018-enru-engrus.eng.rus | 22.3 | 0.526 |
| newstest2019-encs-engces.eng.ces | 20.4 | 0.486 |
| newstest2019-enru-engrus.eng.rus | 24.0 | 0.506 |
| Tatoeba-test.eng-bel.eng.bel | 22.9 | 0.489 |
| Tatoeba-test.eng-bul.eng.bul | 46.7 | 0.652 |
| Tatoeba-test.eng-ces.eng.ces | 42.7 | 0.624 |
| Tatoeba-test.eng-csb.eng.csb | 1.4 | 0.210 |
| Tatoeba-test.eng-dsb.eng.dsb | 1.4 | 0.165 |
| Tatoeba-test.eng-hbs.eng.hbs | 40.3 | 0.616 |
| Tatoeba-test.eng-hsb.eng.hsb | 14.3 | 0.344 |
| Tatoeba-test.eng-mkd.eng.mkd | 44.1 | 0.635 |
| Tatoeba-test.eng.multi | 41.0 | 0.610 |
| Tatoeba-test.eng-orv.eng.orv | 0.3 | 0.014 |
| Tatoeba-test.eng-pol.eng.pol | 42.0 | 0.637 |
| Tatoeba-test.eng-rue.eng.rue | 0.3 | 0.012 |
| Tatoeba-test.eng-rus.eng.rus | 40.5 | 0.612 |
| Tatoeba-test.eng-slv.eng.slv | 18.8 | 0.357 |
| Tatoeba-test.eng-ukr.eng.ukr | 38.8 | 0.600 |
### System Info:
- hf_name: eng-sla
- source_languages: eng
- target_languages: sla
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sla/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla']
- src_constituents: {'eng'}
- tgt_constituents: {'bel', 'hrv', 'orv_Cyrl', 'mkd', 'bel_Latn', 'srp_Latn', 'bul_Latn', 'ces', 'bos_Latn', 'csb_Latn', 'dsb', 'hsb', 'rus', 'srp_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: sla
- short_pair: en-sla
- chrF2_score: 0.61
- bleu: 41.0
- brevity_penalty: 0.976
- ref_len: 64809.0
- src_name: English
- tgt_name: Slavic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: sla
- prefer_old: False
- long_pair: eng-sla
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-sm | 2021-01-18T08:16:11.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"sm",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 43 | transformers | ---
tags:
- translation
---
### opus-mt-en-sm
* source languages: en
* target languages: sm
* OPUS readme: [en-sm](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sm/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sm/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sm/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sm/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.sm | 40.1 | 0.585 |
|
Helsinki-NLP/opus-mt-en-sn | 2021-01-18T08:16:16.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"sn",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 50 | transformers | ---
tags:
- translation
---
### opus-mt-en-sn
* source languages: en
* target languages: sn
* OPUS readme: [en-sn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sn/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sn/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sn/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.sn | 38.0 | 0.646 |
|
Helsinki-NLP/opus-mt-en-sq | 2021-01-18T08:16:21.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"sq",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 343 | transformers | ---
tags:
- translation
---
### opus-mt-en-sq
* source languages: en
* target languages: sq
* OPUS readme: [en-sq](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sq/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sq/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sq/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sq/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.sq | 46.5 | 0.669 |
|
Helsinki-NLP/opus-mt-en-ss | 2021-01-18T08:16:27.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ss",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 43 | transformers | ---
tags:
- translation
---
### opus-mt-en-ss
* source languages: en
* target languages: ss
* OPUS readme: [en-ss](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ss/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ss/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ss/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ss/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ss | 25.7 | 0.541 |
|
Helsinki-NLP/opus-mt-en-st | 2021-01-18T08:16:32.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"st",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 55 | transformers | ---
tags:
- translation
---
### opus-mt-en-st
* source languages: en
* target languages: st
* OPUS readme: [en-st](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-st/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-st/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-st/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-st/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.st | 49.8 | 0.665 |
|
Helsinki-NLP/opus-mt-en-sv | 2021-02-27T14:49:37.000Z | [
"pytorch",
"rust",
"marian",
"seq2seq",
"en",
"sv",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"rust_model.ot",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 8,350 | transformers | ---
tags:
- translation
---
### opus-mt-en-sv
* source languages: en
* target languages: sv
* OPUS readme: [en-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sv/opus-2020-02-26.zip)
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sv/opus-2020-02-26.test.txt)
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sv/opus-2020-02-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.sv | 60.1 | 0.736 |
|
Helsinki-NLP/opus-mt-en-sw | 2021-01-18T08:16:44.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"sw",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 352 | transformers | ---
tags:
- translation
---
### opus-mt-en-sw
* source languages: en
* target languages: sw
* OPUS readme: [en-sw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sw/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sw/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sw/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.en.sw | 24.2 | 0.527 |
|
Helsinki-NLP/opus-mt-en-swc | 2021-01-18T08:16:50.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"swc",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 63 | transformers | ---
tags:
- translation
---
### opus-mt-en-swc
* source languages: en
* target languages: swc
* OPUS readme: [en-swc](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-swc/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-swc/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-swc/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-swc/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.swc | 40.1 | 0.613 |
|
Helsinki-NLP/opus-mt-en-tdt | 2021-01-18T08:16:55.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"tdt",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 63 | transformers | ---
tags:
- translation
---
### opus-mt-en-tdt
* source languages: en
* target languages: tdt
* OPUS readme: [en-tdt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tdt/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tdt/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tdt/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tdt/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.tdt | 23.8 | 0.416 |
|
Helsinki-NLP/opus-mt-en-ti | 2021-01-18T08:17:02.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ti",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 47 | transformers | ---
tags:
- translation
---
### opus-mt-en-ti
* source languages: en
* target languages: ti
* OPUS readme: [en-ti](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ti/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ti/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ti/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ti/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ti | 25.3 | 0.382 |
|
Helsinki-NLP/opus-mt-en-tiv | 2021-01-18T08:17:06.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"tiv",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 51 | transformers | ---
tags:
- translation
---
### opus-mt-en-tiv
* source languages: en
* target languages: tiv
* OPUS readme: [en-tiv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tiv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tiv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tiv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tiv/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.tiv | 31.6 | 0.497 |
|
Helsinki-NLP/opus-mt-en-tl | 2021-01-18T08:17:12.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"tl",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 88 | transformers | ---
tags:
- translation
---
### opus-mt-en-tl
* source languages: en
* target languages: tl
* OPUS readme: [en-tl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tl/README.md)
* dataset: opus+bt
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus+bt-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tl/opus+bt-2020-02-26.zip)
* test set translations: [opus+bt-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tl/opus+bt-2020-02-26.test.txt)
* test set scores: [opus+bt-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tl/opus+bt-2020-02-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.tl | 26.6 | 0.577 |
|
Helsinki-NLP/opus-mt-en-tll | 2021-01-18T08:17:18.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"tll",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 38 | transformers | ---
tags:
- translation
---
### opus-mt-en-tll
* source languages: en
* target languages: tll
* OPUS readme: [en-tll](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tll/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tll/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tll/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tll/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.tll | 33.6 | 0.556 |
|
Helsinki-NLP/opus-mt-en-tn | 2021-01-18T08:17:39.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"tn",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 49 | transformers | ---
tags:
- translation
---
### opus-mt-en-tn
* source languages: en
* target languages: tn
* OPUS readme: [en-tn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tn/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tn/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tn/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.tn | 45.5 | 0.636 |
|
Helsinki-NLP/opus-mt-en-to | 2021-01-18T08:17:49.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"to",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 43 | transformers | ---
tags:
- translation
---
### opus-mt-en-to
* source languages: en
* target languages: to
* OPUS readme: [en-to](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-to/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-to/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-to/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-to/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.to | 56.3 | 0.689 |
|
Helsinki-NLP/opus-mt-en-toi | 2021-01-18T08:17:56.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"toi",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 46 | transformers | ---
tags:
- translation
---
### opus-mt-en-toi
* source languages: en
* target languages: toi
* OPUS readme: [en-toi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-toi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-toi/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-toi/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-toi/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.toi | 32.8 | 0.598 |
|
Helsinki-NLP/opus-mt-en-tpi | 2021-01-18T08:18:02.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"tpi",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 67 | transformers | ---
tags:
- translation
---
### opus-mt-en-tpi
* source languages: en
* target languages: tpi
* OPUS readme: [en-tpi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tpi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tpi/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tpi/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tpi/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.tpi | 38.7 | 0.568 |
|
Helsinki-NLP/opus-mt-en-trk | 2021-01-18T08:18:08.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"tt",
"cv",
"tk",
"tr",
"ba",
"trk",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 108 | transformers | ---
language:
- en
- tt
- cv
- tk
- tr
- ba
- trk
tags:
- translation
license: apache-2.0
---
### eng-trk
* source group: English
* target group: Turkic languages
* OPUS readme: [eng-trk](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-trk/README.md)
* model: transformer
* source language(s): eng
* target language(s): aze_Latn bak chv crh crh_Latn kaz_Cyrl kaz_Latn kir_Cyrl kjh kum ota_Arab ota_Latn sah tat tat_Arab tat_Latn tuk tuk_Latn tur tyv uig_Arab uig_Cyrl uzb_Cyrl uzb_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2016-entr-engtur.eng.tur | 10.1 | 0.437 |
| newstest2016-entr-engtur.eng.tur | 9.2 | 0.410 |
| newstest2017-entr-engtur.eng.tur | 9.0 | 0.410 |
| newstest2018-entr-engtur.eng.tur | 9.2 | 0.413 |
| Tatoeba-test.eng-aze.eng.aze | 26.8 | 0.577 |
| Tatoeba-test.eng-bak.eng.bak | 7.6 | 0.308 |
| Tatoeba-test.eng-chv.eng.chv | 4.3 | 0.270 |
| Tatoeba-test.eng-crh.eng.crh | 8.1 | 0.330 |
| Tatoeba-test.eng-kaz.eng.kaz | 11.1 | 0.359 |
| Tatoeba-test.eng-kir.eng.kir | 28.6 | 0.524 |
| Tatoeba-test.eng-kjh.eng.kjh | 1.0 | 0.041 |
| Tatoeba-test.eng-kum.eng.kum | 2.2 | 0.075 |
| Tatoeba-test.eng.multi | 19.9 | 0.455 |
| Tatoeba-test.eng-ota.eng.ota | 0.5 | 0.065 |
| Tatoeba-test.eng-sah.eng.sah | 0.7 | 0.030 |
| Tatoeba-test.eng-tat.eng.tat | 9.7 | 0.316 |
| Tatoeba-test.eng-tuk.eng.tuk | 5.9 | 0.317 |
| Tatoeba-test.eng-tur.eng.tur | 34.6 | 0.623 |
| Tatoeba-test.eng-tyv.eng.tyv | 5.4 | 0.210 |
| Tatoeba-test.eng-uig.eng.uig | 0.1 | 0.155 |
| Tatoeba-test.eng-uzb.eng.uzb | 3.4 | 0.275 |
### System Info:
- hf_name: eng-trk
- source_languages: eng
- target_languages: trk
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-trk/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'tt', 'cv', 'tk', 'tr', 'ba', 'trk']
- src_constituents: {'eng'}
- tgt_constituents: {'kir_Cyrl', 'tat_Latn', 'tat', 'chv', 'uzb_Cyrl', 'kaz_Latn', 'aze_Latn', 'crh', 'kjh', 'uzb_Latn', 'ota_Arab', 'tuk_Latn', 'tuk', 'tat_Arab', 'sah', 'tyv', 'tur', 'uig_Arab', 'crh_Latn', 'kaz_Cyrl', 'uig_Cyrl', 'kum', 'ota_Latn', 'bak'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: trk
- short_pair: en-trk
- chrF2_score: 0.455
- bleu: 19.9
- brevity_penalty: 1.0
- ref_len: 57072.0
- src_name: English
- tgt_name: Turkic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: trk
- prefer_old: False
- long_pair: eng-trk
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-ts | 2021-01-18T08:18:14.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ts",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 61 | transformers | ---
tags:
- translation
---
### opus-mt-en-ts
* source languages: en
* target languages: ts
* OPUS readme: [en-ts](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ts/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ts/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ts/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ts/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ts | 43.4 | 0.639 |
|
Helsinki-NLP/opus-mt-en-tut | 2021-01-18T08:18:21.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"tut",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 35 | transformers | ---
language:
- en
- tut
tags:
- translation
license: apache-2.0
---
### eng-tut
* source group: English
* target group: Altaic languages
* OPUS readme: [eng-tut](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-tut/README.md)
* model: transformer
* source language(s): eng
* target language(s): aze_Latn bak chv crh crh_Latn kaz_Cyrl kaz_Latn kir_Cyrl kjh kum mon nog ota_Arab ota_Latn sah tat tat_Arab tat_Latn tuk tuk_Latn tur tyv uig_Arab uig_Cyrl uzb_Cyrl uzb_Latn xal
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-tut/opus2m-2020-08-02.zip)
* test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-tut/opus2m-2020-08-02.test.txt)
* test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-tut/opus2m-2020-08-02.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2016-entr-engtur.eng.tur | 10.4 | 0.438 |
| newstest2016-entr-engtur.eng.tur | 9.1 | 0.414 |
| newstest2017-entr-engtur.eng.tur | 9.5 | 0.414 |
| newstest2018-entr-engtur.eng.tur | 9.5 | 0.415 |
| Tatoeba-test.eng-aze.eng.aze | 27.2 | 0.580 |
| Tatoeba-test.eng-bak.eng.bak | 5.8 | 0.298 |
| Tatoeba-test.eng-chv.eng.chv | 4.6 | 0.301 |
| Tatoeba-test.eng-crh.eng.crh | 6.5 | 0.342 |
| Tatoeba-test.eng-kaz.eng.kaz | 11.8 | 0.360 |
| Tatoeba-test.eng-kir.eng.kir | 24.6 | 0.499 |
| Tatoeba-test.eng-kjh.eng.kjh | 2.2 | 0.052 |
| Tatoeba-test.eng-kum.eng.kum | 8.0 | 0.229 |
| Tatoeba-test.eng-mon.eng.mon | 10.3 | 0.362 |
| Tatoeba-test.eng.multi | 19.5 | 0.451 |
| Tatoeba-test.eng-nog.eng.nog | 1.5 | 0.117 |
| Tatoeba-test.eng-ota.eng.ota | 0.2 | 0.035 |
| Tatoeba-test.eng-sah.eng.sah | 0.7 | 0.080 |
| Tatoeba-test.eng-tat.eng.tat | 10.8 | 0.320 |
| Tatoeba-test.eng-tuk.eng.tuk | 5.6 | 0.323 |
| Tatoeba-test.eng-tur.eng.tur | 34.2 | 0.623 |
| Tatoeba-test.eng-tyv.eng.tyv | 8.1 | 0.192 |
| Tatoeba-test.eng-uig.eng.uig | 0.1 | 0.158 |
| Tatoeba-test.eng-uzb.eng.uzb | 4.2 | 0.298 |
| Tatoeba-test.eng-xal.eng.xal | 0.1 | 0.061 |
### System Info:
- hf_name: eng-tut
- source_languages: eng
- target_languages: tut
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-tut/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'tut']
- src_constituents: {'eng'}
- tgt_constituents: set()
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-tut/opus2m-2020-08-02.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-tut/opus2m-2020-08-02.test.txt
- src_alpha3: eng
- tgt_alpha3: tut
- short_pair: en-tut
- chrF2_score: 0.451
- bleu: 19.5
- brevity_penalty: 1.0
- ref_len: 57472.0
- src_name: English
- tgt_name: Altaic languages
- train_date: 2020-08-02
- src_alpha2: en
- tgt_alpha2: tut
- prefer_old: False
- long_pair: eng-tut
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-tvl | 2021-01-18T08:18:27.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"tvl",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 44 | transformers | ---
tags:
- translation
---
### opus-mt-en-tvl
* source languages: en
* target languages: tvl
* OPUS readme: [en-tvl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tvl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tvl/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tvl/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tvl/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.tvl | 46.9 | 0.625 |
|
Helsinki-NLP/opus-mt-en-tw | 2021-01-18T08:18:33.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"tw",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 133 | transformers | ---
tags:
- translation
---
### opus-mt-en-tw
* source languages: en
* target languages: tw
* OPUS readme: [en-tw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tw/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tw/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tw/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.tw | 38.2 | 0.577 |
|
Helsinki-NLP/opus-mt-en-ty | 2021-01-18T08:18:39.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ty",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 47 | transformers | ---
tags:
- translation
---
### opus-mt-en-ty
* source languages: en
* target languages: ty
* OPUS readme: [en-ty](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ty/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ty/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ty/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ty/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ty | 46.8 | 0.619 |
|
Helsinki-NLP/opus-mt-en-uk | 2021-01-18T08:18:46.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"uk",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 618 | transformers | ---
tags:
- translation
---
### opus-mt-en-uk
* source languages: en
* target languages: uk
* OPUS readme: [en-uk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-uk/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-uk/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-uk/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-uk/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.uk | 50.2 | 0.674 |
|
Helsinki-NLP/opus-mt-en-umb | 2021-01-18T08:18:52.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"umb",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 43 | transformers | ---
tags:
- translation
---
### opus-mt-en-umb
* source languages: en
* target languages: umb
* OPUS readme: [en-umb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-umb/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-umb/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-umb/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-umb/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.umb | 28.6 | 0.510 |
|
Helsinki-NLP/opus-mt-en-ur | 2021-01-18T08:18:58.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"ur",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 74 | transformers | ---
language:
- en
- ur
tags:
- translation
license: apache-2.0
---
### eng-urd
* source group: English
* target group: Urdu
* OPUS readme: [eng-urd](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-urd/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): urd
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urd/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urd/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urd/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.urd | 12.1 | 0.390 |
### System Info:
- hf_name: eng-urd
- source_languages: eng
- target_languages: urd
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-urd/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ur']
- src_constituents: {'eng'}
- tgt_constituents: {'urd'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urd/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urd/opus-2020-06-17.test.txt
- src_alpha3: eng
- tgt_alpha3: urd
- short_pair: en-ur
- chrF2_score: 0.39
- bleu: 12.1
- brevity_penalty: 1.0
- ref_len: 12155.0
- src_name: English
- tgt_name: Urdu
- train_date: 2020-06-17
- src_alpha2: en
- tgt_alpha2: ur
- prefer_old: False
- long_pair: eng-urd
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-urj | 2021-01-18T08:19:04.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"se",
"fi",
"hu",
"et",
"urj",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 35 | transformers | ---
language:
- en
- se
- fi
- hu
- et
- urj
tags:
- translation
license: apache-2.0
---
### eng-urj
* source group: English
* target group: Uralic languages
* OPUS readme: [eng-urj](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-urj/README.md)
* model: transformer
* source language(s): eng
* target language(s): est fin fkv_Latn hun izh kpv krl liv_Latn mdf mhr myv sma sme udm vro
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.zip)
* test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.test.txt)
* test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2015-enfi-engfin.eng.fin | 18.3 | 0.519 |
| newsdev2018-enet-engest.eng.est | 19.3 | 0.520 |
| newssyscomb2009-enghun.eng.hun | 15.4 | 0.471 |
| newstest2009-enghun.eng.hun | 15.7 | 0.468 |
| newstest2015-enfi-engfin.eng.fin | 20.2 | 0.534 |
| newstest2016-enfi-engfin.eng.fin | 20.7 | 0.541 |
| newstest2017-enfi-engfin.eng.fin | 23.6 | 0.566 |
| newstest2018-enet-engest.eng.est | 20.8 | 0.535 |
| newstest2018-enfi-engfin.eng.fin | 15.8 | 0.499 |
| newstest2019-enfi-engfin.eng.fin | 19.9 | 0.518 |
| newstestB2016-enfi-engfin.eng.fin | 16.6 | 0.509 |
| newstestB2017-enfi-engfin.eng.fin | 19.4 | 0.529 |
| Tatoeba-test.eng-chm.eng.chm | 1.3 | 0.127 |
| Tatoeba-test.eng-est.eng.est | 51.0 | 0.692 |
| Tatoeba-test.eng-fin.eng.fin | 34.6 | 0.597 |
| Tatoeba-test.eng-fkv.eng.fkv | 2.2 | 0.302 |
| Tatoeba-test.eng-hun.eng.hun | 35.6 | 0.591 |
| Tatoeba-test.eng-izh.eng.izh | 5.7 | 0.211 |
| Tatoeba-test.eng-kom.eng.kom | 3.0 | 0.012 |
| Tatoeba-test.eng-krl.eng.krl | 8.5 | 0.230 |
| Tatoeba-test.eng-liv.eng.liv | 2.7 | 0.077 |
| Tatoeba-test.eng-mdf.eng.mdf | 2.8 | 0.007 |
| Tatoeba-test.eng.multi | 35.1 | 0.588 |
| Tatoeba-test.eng-myv.eng.myv | 1.3 | 0.014 |
| Tatoeba-test.eng-sma.eng.sma | 1.8 | 0.095 |
| Tatoeba-test.eng-sme.eng.sme | 6.8 | 0.204 |
| Tatoeba-test.eng-udm.eng.udm | 1.1 | 0.121 |
### System Info:
- hf_name: eng-urj
- source_languages: eng
- target_languages: urj
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-urj/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'se', 'fi', 'hu', 'et', 'urj']
- src_constituents: {'eng'}
- tgt_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.test.txt
- src_alpha3: eng
- tgt_alpha3: urj
- short_pair: en-urj
- chrF2_score: 0.588
- bleu: 35.1
- brevity_penalty: 0.943
- ref_len: 59664.0
- src_name: English
- tgt_name: Uralic languages
- train_date: 2020-08-02
- src_alpha2: en
- tgt_alpha2: urj
- prefer_old: False
- long_pair: eng-urj
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-vi | 2021-01-18T08:19:11.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"vi",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 4,963 | transformers | ---
language:
- en
- vi
tags:
- translation
license: apache-2.0
---
### eng-vie
* source group: English
* target group: Vietnamese
* OPUS readme: [eng-vie](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-vie/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): vie vie_Hani
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.vie | 37.2 | 0.542 |
### System Info:
- hf_name: eng-vie
- source_languages: eng
- target_languages: vie
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-vie/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'vi']
- src_constituents: {'eng'}
- tgt_constituents: {'vie', 'vie_Hani'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.test.txt
- src_alpha3: eng
- tgt_alpha3: vie
- short_pair: en-vi
- chrF2_score: 0.542
- bleu: 37.2
- brevity_penalty: 0.973
- ref_len: 24427.0
- src_name: English
- tgt_name: Vietnamese
- train_date: 2020-06-17
- src_alpha2: en
- tgt_alpha2: vi
- prefer_old: False
- long_pair: eng-vie
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-xh | 2021-01-18T08:19:18.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"xh",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 46 | transformers | ---
tags:
- translation
---
### opus-mt-en-xh
* source languages: en
* target languages: xh
* OPUS readme: [en-xh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-xh/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-xh/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-xh/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-xh/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.xh | 37.9 | 0.652 |
|
Helsinki-NLP/opus-mt-en-zh | 2021-03-12T11:12:04.000Z | [
"pytorch",
"tf",
"rust",
"marian",
"seq2seq",
"en",
"zh",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"rust_model.ot",
"source.spm",
"target.spm",
"tf_model.h5",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 7,347 | transformers | ---
language:
- en
- zh
tags:
- translation
---
### eng-zho
* source group: English
* target group: Chinese
* OPUS readme: [eng-zho](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zho/README.md)
* model: transformer
* source language(s): eng
* target language(s): cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant gan lzh lzh_Hans nan wuu yue yue_Hans yue_Hant
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.zip)
* test set translations: [opus-2020-07-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.test.txt)
* test set scores: [opus-2020-07-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.zho | 31.4 | 0.268 |
### System Info:
- hf_name: eng-zho
- source_languages: eng
- target_languages: zho
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zho/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'zh']
- src_constituents: {'eng'}
- tgt_constituents: {'cmn_Hans', 'nan', 'nan_Hani', 'gan', 'yue', 'cmn_Kana', 'yue_Hani', 'wuu_Bopo', 'cmn_Latn', 'yue_Hira', 'cmn_Hani', 'cjy_Hans', 'cmn', 'lzh_Hang', 'lzh_Hira', 'cmn_Hant', 'lzh_Bopo', 'zho', 'zho_Hans', 'zho_Hant', 'lzh_Hani', 'yue_Hang', 'wuu', 'yue_Kana', 'wuu_Latn', 'yue_Bopo', 'cjy_Hant', 'yue_Hans', 'lzh', 'cmn_Hira', 'lzh_Yiii', 'lzh_Hans', 'cmn_Bopo', 'cmn_Hang', 'hak_Hani', 'cmn_Yiii', 'yue_Hant', 'lzh_Kana', 'wuu_Hani'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.test.txt
- src_alpha3: eng
- tgt_alpha3: zho
- short_pair: en-zh
- chrF2_score: 0.268
- bleu: 31.4
- brevity_penalty: 0.8959999999999999
- ref_len: 110468.0
- src_name: English
- tgt_name: Chinese
- train_date: 2020-07-17
- src_alpha2: en
- tgt_alpha2: zh
- prefer_old: False
- long_pair: eng-zho
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41
|
Helsinki-NLP/opus-mt-en-zle | 2021-01-18T08:19:30.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"be",
"ru",
"uk",
"zle",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 34 | transformers | ---
language:
- en
- be
- ru
- uk
- zle
tags:
- translation
license: apache-2.0
---
### eng-zle
* source group: English
* target group: East Slavic languages
* OPUS readme: [eng-zle](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zle/README.md)
* model: transformer
* source language(s): eng
* target language(s): bel bel_Latn orv_Cyrl rue rus ukr
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zle/opus2m-2020-08-02.zip)
* test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zle/opus2m-2020-08-02.test.txt)
* test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zle/opus2m-2020-08-02.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newstest2012-engrus.eng.rus | 27.4 | 0.550 |
| newstest2013-engrus.eng.rus | 21.4 | 0.493 |
| newstest2015-enru-engrus.eng.rus | 24.2 | 0.534 |
| newstest2016-enru-engrus.eng.rus | 23.3 | 0.518 |
| newstest2017-enru-engrus.eng.rus | 25.3 | 0.541 |
| newstest2018-enru-engrus.eng.rus | 22.4 | 0.527 |
| newstest2019-enru-engrus.eng.rus | 24.1 | 0.505 |
| Tatoeba-test.eng-bel.eng.bel | 20.8 | 0.471 |
| Tatoeba-test.eng.multi | 37.2 | 0.580 |
| Tatoeba-test.eng-orv.eng.orv | 0.6 | 0.130 |
| Tatoeba-test.eng-rue.eng.rue | 1.4 | 0.168 |
| Tatoeba-test.eng-rus.eng.rus | 41.3 | 0.616 |
| Tatoeba-test.eng-ukr.eng.ukr | 38.7 | 0.596 |
### System Info:
- hf_name: eng-zle
- source_languages: eng
- target_languages: zle
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zle/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'be', 'ru', 'uk', 'zle']
- src_constituents: {'eng'}
- tgt_constituents: {'bel', 'orv_Cyrl', 'bel_Latn', 'rus', 'ukr', 'rue'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zle/opus2m-2020-08-02.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zle/opus2m-2020-08-02.test.txt
- src_alpha3: eng
- tgt_alpha3: zle
- short_pair: en-zle
- chrF2_score: 0.58
- bleu: 37.2
- brevity_penalty: 0.9890000000000001
- ref_len: 63493.0
- src_name: English
- tgt_name: East Slavic languages
- train_date: 2020-08-02
- src_alpha2: en
- tgt_alpha2: zle
- prefer_old: False
- long_pair: eng-zle
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-zls | 2021-01-18T08:19:36.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"hr",
"mk",
"bg",
"sl",
"zls",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 40 | transformers | ---
language:
- en
- hr
- mk
- bg
- sl
- zls
tags:
- translation
license: apache-2.0
---
### eng-zls
* source group: English
* target group: South Slavic languages
* OPUS readme: [eng-zls](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zls/README.md)
* model: transformer
* source language(s): eng
* target language(s): bos_Latn bul bul_Latn hrv mkd slv srp_Cyrl srp_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.zip)
* test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.test.txt)
* test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-bul.eng.bul | 47.6 | 0.657 |
| Tatoeba-test.eng-hbs.eng.hbs | 40.7 | 0.619 |
| Tatoeba-test.eng-mkd.eng.mkd | 45.2 | 0.642 |
| Tatoeba-test.eng.multi | 42.7 | 0.622 |
| Tatoeba-test.eng-slv.eng.slv | 17.9 | 0.351 |
### System Info:
- hf_name: eng-zls
- source_languages: eng
- target_languages: zls
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zls/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'hr', 'mk', 'bg', 'sl', 'zls']
- src_constituents: {'eng'}
- tgt_constituents: {'hrv', 'mkd', 'srp_Latn', 'srp_Cyrl', 'bul_Latn', 'bul', 'bos_Latn', 'slv'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.test.txt
- src_alpha3: eng
- tgt_alpha3: zls
- short_pair: en-zls
- chrF2_score: 0.622
- bleu: 42.7
- brevity_penalty: 0.9690000000000001
- ref_len: 64788.0
- src_name: English
- tgt_name: South Slavic languages
- train_date: 2020-08-02
- src_alpha2: en
- tgt_alpha2: zls
- prefer_old: False
- long_pair: eng-zls
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en-zlw | 2021-01-18T08:19:43.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"pl",
"cs",
"zlw",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 36 | transformers | ---
language:
- en
- pl
- cs
- zlw
tags:
- translation
license: apache-2.0
---
### eng-zlw
* source group: English
* target group: West Slavic languages
* OPUS readme: [eng-zlw](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zlw/README.md)
* model: transformer
* source language(s): eng
* target language(s): ces csb_Latn dsb hsb pol
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.zip)
* test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.test.txt)
* test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-engces.eng.ces | 20.6 | 0.488 |
| news-test2008-engces.eng.ces | 18.3 | 0.466 |
| newstest2009-engces.eng.ces | 19.8 | 0.483 |
| newstest2010-engces.eng.ces | 19.8 | 0.486 |
| newstest2011-engces.eng.ces | 20.6 | 0.489 |
| newstest2012-engces.eng.ces | 18.6 | 0.464 |
| newstest2013-engces.eng.ces | 22.3 | 0.495 |
| newstest2015-encs-engces.eng.ces | 21.7 | 0.502 |
| newstest2016-encs-engces.eng.ces | 24.5 | 0.521 |
| newstest2017-encs-engces.eng.ces | 20.1 | 0.480 |
| newstest2018-encs-engces.eng.ces | 19.9 | 0.483 |
| newstest2019-encs-engces.eng.ces | 21.2 | 0.490 |
| Tatoeba-test.eng-ces.eng.ces | 43.7 | 0.632 |
| Tatoeba-test.eng-csb.eng.csb | 1.2 | 0.188 |
| Tatoeba-test.eng-dsb.eng.dsb | 1.5 | 0.167 |
| Tatoeba-test.eng-hsb.eng.hsb | 5.7 | 0.199 |
| Tatoeba-test.eng.multi | 42.8 | 0.632 |
| Tatoeba-test.eng-pol.eng.pol | 43.2 | 0.641 |
### System Info:
- hf_name: eng-zlw
- source_languages: eng
- target_languages: zlw
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zlw/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'pl', 'cs', 'zlw']
- src_constituents: {'eng'}
- tgt_constituents: {'csb_Latn', 'dsb', 'hsb', 'pol', 'ces'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.test.txt
- src_alpha3: eng
- tgt_alpha3: zlw
- short_pair: en-zlw
- chrF2_score: 0.632
- bleu: 42.8
- brevity_penalty: 0.973
- ref_len: 65397.0
- src_name: English
- tgt_name: West Slavic languages
- train_date: 2020-08-02
- src_alpha2: en
- tgt_alpha2: zlw
- prefer_old: False
- long_pair: eng-zlw
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-en_el_es_fi-en_el_es_fi | 2021-01-18T08:19:48.000Z | [
"pytorch",
"marian",
"seq2seq",
"en",
"el",
"es",
"fi",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 39 | transformers | ---
tags:
- translation
---
### opus-mt-en_el_es_fi-en_el_es_fi
* source languages: en,el,es,fi
* target languages: en,el,es,fi
* OPUS readme: [en+el+es+fi-en+el+es+fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en+el+es+fi-en+el+es+fi/README.md)
* dataset: opus
* model: transformer
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-03-02.zip](https://object.pouta.csc.fi/OPUS-MT-models/en+el+es+fi-en+el+es+fi/opus-2020-03-02.zip)
* test set translations: [opus-2020-03-02.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en+el+es+fi-en+el+es+fi/opus-2020-03-02.test.txt)
* test set scores: [opus-2020-03-02.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en+el+es+fi-en+el+es+fi/opus-2020-03-02.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2015-enfi.en.fi | 16.0 | 0.498 |
| newssyscomb2009.en.es | 29.9 | 0.570 |
| newssyscomb2009.es.en | 29.7 | 0.569 |
| news-test2008.en.es | 27.3 | 0.549 |
| news-test2008.es.en | 27.3 | 0.548 |
| newstest2009.en.es | 28.4 | 0.564 |
| newstest2009.es.en | 28.4 | 0.564 |
| newstest2010.en.es | 34.0 | 0.599 |
| newstest2010.es.en | 34.0 | 0.599 |
| newstest2011.en.es | 35.1 | 0.600 |
| newstest2012.en.es | 35.4 | 0.602 |
| newstest2013.en.es | 31.9 | 0.576 |
| newstest2015-enfi.en.fi | 17.8 | 0.509 |
| newstest2016-enfi.en.fi | 19.0 | 0.521 |
| newstest2017-enfi.en.fi | 21.2 | 0.539 |
| newstest2018-enfi.en.fi | 13.9 | 0.478 |
| newstest2019-enfi.en.fi | 18.8 | 0.503 |
| newstestB2016-enfi.en.fi | 14.9 | 0.491 |
| newstestB2017-enfi.en.fi | 16.9 | 0.503 |
| simplification.en.en | 63.0 | 0.798 |
| Tatoeba.en.fi | 56.7 | 0.719 |
|
Helsinki-NLP/opus-mt-eo-af | 2021-01-18T08:19:52.000Z | [
"pytorch",
"marian",
"seq2seq",
"eo",
"af",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 40 | transformers | ---
language:
- eo
- af
tags:
- translation
license: apache-2.0
---
### epo-afr
* source group: Esperanto
* target group: Afrikaans
* OPUS readme: [epo-afr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-afr/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): afr
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.afr | 19.5 | 0.369 |
### System Info:
- hf_name: epo-afr
- source_languages: epo
- target_languages: afr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-afr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'af']
- src_constituents: {'epo'}
- tgt_constituents: {'afr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: afr
- short_pair: eo-af
- chrF2_score: 0.369
- bleu: 19.5
- brevity_penalty: 0.9570000000000001
- ref_len: 8432.0
- src_name: Esperanto
- tgt_name: Afrikaans
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: af
- prefer_old: False
- long_pair: epo-afr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-bg | 2021-01-18T08:19:56.000Z | [
"pytorch",
"marian",
"seq2seq",
"eo",
"bg",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 29 | transformers | ---
language:
- eo
- bg
tags:
- translation
license: apache-2.0
---
### epo-bul
* source group: Esperanto
* target group: Bulgarian
* OPUS readme: [epo-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-bul/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): bul
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-bul/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-bul/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-bul/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.bul | 19.0 | 0.395 |
### System Info:
- hf_name: epo-bul
- source_languages: epo
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'bg']
- src_constituents: {'epo'}
- tgt_constituents: {'bul', 'bul_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-bul/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-bul/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: bul
- short_pair: eo-bg
- chrF2_score: 0.395
- bleu: 19.0
- brevity_penalty: 0.8909999999999999
- ref_len: 3961.0
- src_name: Esperanto
- tgt_name: Bulgarian
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: bg
- prefer_old: False
- long_pair: epo-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-cs | 2021-01-18T08:20:00.000Z | [
"pytorch",
"marian",
"seq2seq",
"eo",
"cs",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 26 | transformers | ---
language:
- eo
- cs
tags:
- translation
license: apache-2.0
---
### epo-ces
* source group: Esperanto
* target group: Czech
* OPUS readme: [epo-ces](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ces/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): ces
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ces/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ces/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ces/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.ces | 17.5 | 0.376 |
### System Info:
- hf_name: epo-ces
- source_languages: epo
- target_languages: ces
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ces/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'cs']
- src_constituents: {'epo'}
- tgt_constituents: {'ces'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ces/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ces/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: ces
- short_pair: eo-cs
- chrF2_score: 0.376
- bleu: 17.5
- brevity_penalty: 0.922
- ref_len: 22148.0
- src_name: Esperanto
- tgt_name: Czech
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: cs
- prefer_old: False
- long_pair: epo-ces
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-da | 2021-01-18T08:20:04.000Z | [
"pytorch",
"marian",
"seq2seq",
"eo",
"da",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 27 | transformers | ---
language:
- eo
- da
tags:
- translation
license: apache-2.0
---
### epo-dan
* source group: Esperanto
* target group: Danish
* OPUS readme: [epo-dan](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-dan/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): dan
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-dan/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-dan/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-dan/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.dan | 21.6 | 0.407 |
### System Info:
- hf_name: epo-dan
- source_languages: epo
- target_languages: dan
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-dan/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'da']
- src_constituents: {'epo'}
- tgt_constituents: {'dan'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-dan/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-dan/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: dan
- short_pair: eo-da
- chrF2_score: 0.40700000000000003
- bleu: 21.6
- brevity_penalty: 0.9359999999999999
- ref_len: 72349.0
- src_name: Esperanto
- tgt_name: Danish
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: da
- prefer_old: False
- long_pair: epo-dan
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-de | 2021-01-18T08:20:09.000Z | [
"pytorch",
"marian",
"seq2seq",
"eo",
"de",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 79 | transformers | ---
tags:
- translation
---
### opus-mt-eo-de
* source languages: eo
* target languages: de
* OPUS readme: [eo-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/eo-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/eo-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-de/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.eo.de | 45.5 | 0.644 |
|
Helsinki-NLP/opus-mt-eo-el | 2021-01-18T08:20:13.000Z | [
"pytorch",
"marian",
"seq2seq",
"eo",
"el",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 29 | transformers | ---
language:
- eo
- el
tags:
- translation
license: apache-2.0
---
### epo-ell
* source group: Esperanto
* target group: Modern Greek (1453-)
* OPUS readme: [epo-ell](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ell/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): ell
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.ell | 23.2 | 0.438 |
### System Info:
- hf_name: epo-ell
- source_languages: epo
- target_languages: ell
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ell/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'el']
- src_constituents: {'epo'}
- tgt_constituents: {'ell'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: ell
- short_pair: eo-el
- chrF2_score: 0.43799999999999994
- bleu: 23.2
- brevity_penalty: 0.9159999999999999
- ref_len: 3892.0
- src_name: Esperanto
- tgt_name: Modern Greek (1453-)
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: el
- prefer_old: False
- long_pair: epo-ell
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-en | 2021-01-18T08:20:18.000Z | [
"pytorch",
"marian",
"seq2seq",
"eo",
"en",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 461 | transformers | ---
tags:
- translation
---
### opus-mt-eo-en
* source languages: eo
* target languages: en
* OPUS readme: [eo-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/eo-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/eo-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-en/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.eo.en | 54.8 | 0.694 |
|
Helsinki-NLP/opus-mt-eo-es | 2021-01-18T08:20:24.000Z | [
"pytorch",
"marian",
"seq2seq",
"eo",
"es",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 39 | transformers | ---
tags:
- translation
---
### opus-mt-eo-es
* source languages: eo
* target languages: es
* OPUS readme: [eo-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/eo-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/eo-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.eo.es | 44.2 | 0.631 |
|
Helsinki-NLP/opus-mt-eo-fi | 2021-01-18T08:20:29.000Z | [
"pytorch",
"marian",
"seq2seq",
"eo",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 27 | transformers | ---
language:
- eo
- fi
tags:
- translation
license: apache-2.0
---
### epo-fin
* source group: Esperanto
* target group: Finnish
* OPUS readme: [epo-fin](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-fin/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): fin
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.fin | 15.9 | 0.371 |
### System Info:
- hf_name: epo-fin
- source_languages: epo
- target_languages: fin
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-fin/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'fi']
- src_constituents: {'epo'}
- tgt_constituents: {'fin'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: fin
- short_pair: eo-fi
- chrF2_score: 0.371
- bleu: 15.9
- brevity_penalty: 0.894
- ref_len: 15881.0
- src_name: Esperanto
- tgt_name: Finnish
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: fi
- prefer_old: False
- long_pair: epo-fin
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-fr | 2021-01-18T08:20:37.000Z | [
"pytorch",
"marian",
"seq2seq",
"eo",
"fr",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 46 | transformers | ---
tags:
- translation
---
### opus-mt-eo-fr
* source languages: eo
* target languages: fr
* OPUS readme: [eo-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/eo-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/eo-fr/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-fr/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-fr/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.eo.fr | 50.9 | 0.675 |
|
Helsinki-NLP/opus-mt-eo-he | 2021-01-18T08:20:40.000Z | [
"pytorch",
"marian",
"seq2seq",
"eo",
"he",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 33 | transformers | ---
language:
- eo
- he
tags:
- translation
license: apache-2.0
---
### epo-heb
* source group: Esperanto
* target group: Hebrew
* OPUS readme: [epo-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-heb/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): heb
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-heb/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-heb/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-heb/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.heb | 11.5 | 0.306 |
### System Info:
- hf_name: epo-heb
- source_languages: epo
- target_languages: heb
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-heb/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'he']
- src_constituents: {'epo'}
- tgt_constituents: {'heb'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-heb/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-heb/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: heb
- short_pair: eo-he
- chrF2_score: 0.306
- bleu: 11.5
- brevity_penalty: 0.943
- ref_len: 65645.0
- src_name: Esperanto
- tgt_name: Hebrew
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: he
- prefer_old: False
- long_pair: epo-heb
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-hu | 2021-01-18T08:20:45.000Z | [
"pytorch",
"marian",
"seq2seq",
"eo",
"hu",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 30 | transformers | ---
language:
- eo
- hu
tags:
- translation
license: apache-2.0
---
### epo-hun
* source group: Esperanto
* target group: Hungarian
* OPUS readme: [epo-hun](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-hun/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): hun
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hun/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hun/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hun/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.hun | 12.8 | 0.333 |
### System Info:
- hf_name: epo-hun
- source_languages: epo
- target_languages: hun
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-hun/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'hu']
- src_constituents: {'epo'}
- tgt_constituents: {'hun'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hun/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hun/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: hun
- short_pair: eo-hu
- chrF2_score: 0.33299999999999996
- bleu: 12.8
- brevity_penalty: 0.914
- ref_len: 65704.0
- src_name: Esperanto
- tgt_name: Hungarian
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: hu
- prefer_old: False
- long_pair: epo-hun
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-it | 2021-01-18T08:20:50.000Z | [
"pytorch",
"marian",
"seq2seq",
"eo",
"it",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 27 | transformers | ---
language:
- eo
- it
tags:
- translation
license: apache-2.0
---
### epo-ita
* source group: Esperanto
* target group: Italian
* OPUS readme: [epo-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ita/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): ita
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.ita | 23.8 | 0.465 |
### System Info:
- hf_name: epo-ita
- source_languages: epo
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'it']
- src_constituents: {'epo'}
- tgt_constituents: {'ita'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: ita
- short_pair: eo-it
- chrF2_score: 0.465
- bleu: 23.8
- brevity_penalty: 0.9420000000000001
- ref_len: 67118.0
- src_name: Esperanto
- tgt_name: Italian
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: it
- prefer_old: False
- long_pair: epo-ita
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-nl | 2021-01-18T08:20:54.000Z | [
"pytorch",
"marian",
"seq2seq",
"eo",
"nl",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 26 | transformers | ---
language:
- eo
- nl
tags:
- translation
license: apache-2.0
---
### epo-nld
* source group: Esperanto
* target group: Dutch
* OPUS readme: [epo-nld](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-nld/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): nld
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-nld/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-nld/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-nld/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.nld | 15.3 | 0.337 |
### System Info:
- hf_name: epo-nld
- source_languages: epo
- target_languages: nld
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-nld/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'nl']
- src_constituents: {'epo'}
- tgt_constituents: {'nld'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-nld/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-nld/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: nld
- short_pair: eo-nl
- chrF2_score: 0.337
- bleu: 15.3
- brevity_penalty: 0.8640000000000001
- ref_len: 78770.0
- src_name: Esperanto
- tgt_name: Dutch
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: nl
- prefer_old: False
- long_pair: epo-nld
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-pl | 2021-01-18T08:20:58.000Z | [
"pytorch",
"marian",
"seq2seq",
"eo",
"pl",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 33 | transformers | ---
language:
- eo
- pl
tags:
- translation
license: apache-2.0
---
### epo-pol
* source group: Esperanto
* target group: Polish
* OPUS readme: [epo-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-pol/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): pol
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.pol | 17.2 | 0.392 |
### System Info:
- hf_name: epo-pol
- source_languages: epo
- target_languages: pol
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-pol/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'pl']
- src_constituents: {'epo'}
- tgt_constituents: {'pol'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: pol
- short_pair: eo-pl
- chrF2_score: 0.392
- bleu: 17.2
- brevity_penalty: 0.893
- ref_len: 15343.0
- src_name: Esperanto
- tgt_name: Polish
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: pl
- prefer_old: False
- long_pair: epo-pol
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-pt | 2021-01-18T08:21:02.000Z | [
"pytorch",
"marian",
"seq2seq",
"eo",
"pt",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 36 | transformers | ---
language:
- eo
- pt
tags:
- translation
license: apache-2.0
---
### epo-por
* source group: Esperanto
* target group: Portuguese
* OPUS readme: [epo-por](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-por/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): por
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.por | 20.2 | 0.438 |
### System Info:
- hf_name: epo-por
- source_languages: epo
- target_languages: por
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-por/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'pt']
- src_constituents: {'epo'}
- tgt_constituents: {'por'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: por
- short_pair: eo-pt
- chrF2_score: 0.43799999999999994
- bleu: 20.2
- brevity_penalty: 0.895
- ref_len: 89991.0
- src_name: Esperanto
- tgt_name: Portuguese
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: pt
- prefer_old: False
- long_pair: epo-por
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-ro | 2021-01-18T08:21:06.000Z | [
"pytorch",
"marian",
"seq2seq",
"eo",
"ro",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 33 | transformers | ---
language:
- eo
- ro
tags:
- translation
license: apache-2.0
---
### epo-ron
* source group: Esperanto
* target group: Romanian
* OPUS readme: [epo-ron](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ron/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): ron
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ron/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ron/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ron/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.ron | 19.4 | 0.420 |
### System Info:
- hf_name: epo-ron
- source_languages: epo
- target_languages: ron
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ron/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'ro']
- src_constituents: {'epo'}
- tgt_constituents: {'ron'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ron/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ron/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: ron
- short_pair: eo-ro
- chrF2_score: 0.42
- bleu: 19.4
- brevity_penalty: 0.9179999999999999
- ref_len: 25619.0
- src_name: Esperanto
- tgt_name: Romanian
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: ro
- prefer_old: False
- long_pair: epo-ron
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-ru | 2021-01-18T08:21:10.000Z | [
"pytorch",
"marian",
"seq2seq",
"eo",
"ru",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 34 | transformers | ---
language:
- eo
- ru
tags:
- translation
license: apache-2.0
---
### epo-rus
* source group: Esperanto
* target group: Russian
* OPUS readme: [epo-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-rus/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): rus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-rus/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-rus/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-rus/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.rus | 17.7 | 0.379 |
### System Info:
- hf_name: epo-rus
- source_languages: epo
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'ru']
- src_constituents: {'epo'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-rus/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-rus/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: rus
- short_pair: eo-ru
- chrF2_score: 0.379
- bleu: 17.7
- brevity_penalty: 0.9179999999999999
- ref_len: 71288.0
- src_name: Esperanto
- tgt_name: Russian
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: ru
- prefer_old: False
- long_pair: epo-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-sh | 2021-01-18T08:21:15.000Z | [
"pytorch",
"marian",
"seq2seq",
"eo",
"sh",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 36 | transformers | ---
language:
- eo
- sh
tags:
- translation
license: apache-2.0
---
### epo-hbs
* source group: Esperanto
* target group: Serbo-Croatian
* OPUS readme: [epo-hbs](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-hbs/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): bos_Latn hrv srp_Cyrl srp_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.hbs | 13.6 | 0.351 |
### System Info:
- hf_name: epo-hbs
- source_languages: epo
- target_languages: hbs
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-hbs/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'sh']
- src_constituents: {'epo'}
- tgt_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: hbs
- short_pair: eo-sh
- chrF2_score: 0.35100000000000003
- bleu: 13.6
- brevity_penalty: 0.888
- ref_len: 17999.0
- src_name: Esperanto
- tgt_name: Serbo-Croatian
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: sh
- prefer_old: False
- long_pair: epo-hbs
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-eo-sv | 2021-01-18T08:21:20.000Z | [
"pytorch",
"marian",
"seq2seq",
"eo",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 59 | transformers | ---
language:
- eo
- sv
tags:
- translation
license: apache-2.0
---
### epo-swe
* source group: Esperanto
* target group: Swedish
* OPUS readme: [epo-swe](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-swe/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): swe
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-swe/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-swe/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-swe/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.swe | 29.5 | 0.463 |
### System Info:
- hf_name: epo-swe
- source_languages: epo
- target_languages: swe
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-swe/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'sv']
- src_constituents: {'epo'}
- tgt_constituents: {'swe'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-swe/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-swe/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: swe
- short_pair: eo-sv
- chrF2_score: 0.46299999999999997
- bleu: 29.5
- brevity_penalty: 0.9640000000000001
- ref_len: 10977.0
- src_name: Esperanto
- tgt_name: Swedish
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: sv
- prefer_old: False
- long_pair: epo-swe
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-es-NORWAY | 2021-01-18T08:21:26.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"no",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 36 | transformers | ---
tags:
- translation
---
### opus-mt-es-NORWAY
* source languages: es
* target languages: nb_NO,nb,nn_NO,nn,nog,no_nb,no
* OPUS readme: [es-nb_NO+nb+nn_NO+nn+nog+no_nb+no](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-nb_NO+nb+nn_NO+nn+nog+no_nb+no/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.es.no | 31.6 | 0.523 |
|
Helsinki-NLP/opus-mt-es-aed | 2021-01-18T08:21:30.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"aed",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 49 | transformers | ---
tags:
- translation
---
### opus-mt-es-aed
* source languages: es
* target languages: aed
* OPUS readme: [es-aed](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-aed/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-aed/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-aed/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-aed/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.es.aed | 89.2 | 0.915 |
|
Helsinki-NLP/opus-mt-es-af | 2021-01-18T08:21:38.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"af",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 75 | transformers | ---
language:
- es
- af
tags:
- translation
license: apache-2.0
---
### spa-afr
* source group: Spanish
* target group: Afrikaans
* OPUS readme: [spa-afr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-afr/README.md)
* model: transformer-align
* source language(s): spa
* target language(s): afr
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-afr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-afr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-afr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.afr | 55.0 | 0.718 |
### System Info:
- hf_name: spa-afr
- source_languages: spa
- target_languages: afr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-afr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'af']
- src_constituents: {'spa'}
- tgt_constituents: {'afr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-afr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-afr/opus-2020-06-17.test.txt
- src_alpha3: spa
- tgt_alpha3: afr
- short_pair: es-af
- chrF2_score: 0.718
- bleu: 55.0
- brevity_penalty: 0.9740000000000001
- ref_len: 3044.0
- src_name: Spanish
- tgt_name: Afrikaans
- train_date: 2020-06-17
- src_alpha2: es
- tgt_alpha2: af
- prefer_old: False
- long_pair: spa-afr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-es-ar | 2021-01-18T08:21:46.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"ar",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 35 | transformers | ---
language:
- es
- ar
tags:
- translation
license: apache-2.0
---
### spa-ara
* source group: Spanish
* target group: Arabic
* OPUS readme: [spa-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-ara/README.md)
* model: transformer
* source language(s): spa
* target language(s): apc apc_Latn ara arq
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ara/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.ara | 20.0 | 0.517 |
### System Info:
- hf_name: spa-ara
- source_languages: spa
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'ar']
- src_constituents: {'spa'}
- tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ara/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ara/opus-2020-07-03.test.txt
- src_alpha3: spa
- tgt_alpha3: ara
- short_pair: es-ar
- chrF2_score: 0.517
- bleu: 20.0
- brevity_penalty: 0.9390000000000001
- ref_len: 7547.0
- src_name: Spanish
- tgt_name: Arabic
- train_date: 2020-07-03
- src_alpha2: es
- tgt_alpha2: ar
- prefer_old: False
- long_pair: spa-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-es-ase | 2021-01-18T08:21:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"ase",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 58 | transformers | ---
tags:
- translation
---
### opus-mt-es-ase
* source languages: es
* target languages: ase
* OPUS readme: [es-ase](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ase/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ase/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ase/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ase/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.es.ase | 31.5 | 0.488 |
|
Helsinki-NLP/opus-mt-es-bcl | 2021-01-18T08:21:57.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"bcl",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 48 | transformers | ---
tags:
- translation
---
### opus-mt-es-bcl
* source languages: es
* target languages: bcl
* OPUS readme: [es-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-bcl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-bcl/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-bcl/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-bcl/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.es.bcl | 37.1 | 0.586 |
|
Helsinki-NLP/opus-mt-es-ber | 2021-01-18T08:22:03.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"ber",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 62 | transformers | ---
tags:
- translation
---
### opus-mt-es-ber
* source languages: es
* target languages: ber
* OPUS readme: [es-ber](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ber/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ber/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ber/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ber/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.ber | 21.8 | 0.444 |
|
Helsinki-NLP/opus-mt-es-bg | 2021-01-18T08:22:14.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"bg",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 61 | transformers | ---
language:
- es
- bg
tags:
- translation
license: apache-2.0
---
### spa-bul
* source group: Spanish
* target group: Bulgarian
* OPUS readme: [spa-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-bul/README.md)
* model: transformer
* source language(s): spa
* target language(s): bul
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-bul/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-bul/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-bul/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.bul | 50.9 | 0.674 |
### System Info:
- hf_name: spa-bul
- source_languages: spa
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'bg']
- src_constituents: {'spa'}
- tgt_constituents: {'bul', 'bul_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-bul/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-bul/opus-2020-07-03.test.txt
- src_alpha3: spa
- tgt_alpha3: bul
- short_pair: es-bg
- chrF2_score: 0.674
- bleu: 50.9
- brevity_penalty: 0.955
- ref_len: 1707.0
- src_name: Spanish
- tgt_name: Bulgarian
- train_date: 2020-07-03
- src_alpha2: es
- tgt_alpha2: bg
- prefer_old: False
- long_pair: spa-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-es-bi | 2021-01-18T08:22:20.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"bi",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 57 | transformers | ---
tags:
- translation
---
### opus-mt-es-bi
* source languages: es
* target languages: bi
* OPUS readme: [es-bi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-bi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-bi/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-bi/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-bi/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.es.bi | 28.0 | 0.473 |
|
Helsinki-NLP/opus-mt-es-bzs | 2021-01-18T08:22:25.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"bzs",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 35 | transformers | ---
tags:
- translation
---
### opus-mt-es-bzs
* source languages: es
* target languages: bzs
* OPUS readme: [es-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-bzs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-bzs/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-bzs/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-bzs/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.es.bzs | 26.4 | 0.451 |
|
Helsinki-NLP/opus-mt-es-ca | 2021-01-18T08:22:32.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"ca",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 254 | transformers | ---
language:
- es
- ca
tags:
- translation
license: apache-2.0
---
### spa-cat
* source group: Spanish
* target group: Catalan
* OPUS readme: [spa-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-cat/README.md)
* model: transformer-align
* source language(s): spa
* target language(s): cat
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-cat/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-cat/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-cat/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.cat | 68.9 | 0.832 |
### System Info:
- hf_name: spa-cat
- source_languages: spa
- target_languages: cat
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-cat/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'ca']
- src_constituents: {'spa'}
- tgt_constituents: {'cat'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-cat/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-cat/opus-2020-06-17.test.txt
- src_alpha3: spa
- tgt_alpha3: cat
- short_pair: es-ca
- chrF2_score: 0.8320000000000001
- bleu: 68.9
- brevity_penalty: 1.0
- ref_len: 12343.0
- src_name: Spanish
- tgt_name: Catalan
- train_date: 2020-06-17
- src_alpha2: es
- tgt_alpha2: ca
- prefer_old: False
- long_pair: spa-cat
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-es-ceb | 2021-01-18T08:22:38.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"ceb",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 49 | transformers | ---
tags:
- translation
---
### opus-mt-es-ceb
* source languages: es
* target languages: ceb
* OPUS readme: [es-ceb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ceb/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ceb/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ceb/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ceb/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.es.ceb | 33.9 | 0.564 |
|
Helsinki-NLP/opus-mt-es-crs | 2021-01-18T08:22:43.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"crs",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 50 | transformers | ---
tags:
- translation
---
### opus-mt-es-crs
* source languages: es
* target languages: crs
* OPUS readme: [es-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-crs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-crs/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-crs/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-crs/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.es.crs | 26.4 | 0.453 |
|
Helsinki-NLP/opus-mt-es-cs | 2021-01-18T08:22:50.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"cs",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 48 | transformers | ---
tags:
- translation
---
### opus-mt-es-cs
* source languages: es
* target languages: cs
* OPUS readme: [es-cs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-cs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-cs/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-cs/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-cs/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.cs | 46.4 | 0.655 |
|
Helsinki-NLP/opus-mt-es-csg | 2021-01-18T08:22:54.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"csg",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 46 | transformers | ---
tags:
- translation
---
### opus-mt-es-csg
* source languages: es
* target languages: csg
* OPUS readme: [es-csg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-csg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-csg/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-csg/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-csg/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.es.csg | 91.2 | 0.937 |
|
Helsinki-NLP/opus-mt-es-csn | 2021-01-18T08:22:59.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"csn",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 53 | transformers | ---
tags:
- translation
---
### opus-mt-es-csn
* source languages: es
* target languages: csn
* OPUS readme: [es-csn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-csn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-csn/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-csn/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-csn/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.es.csn | 87.8 | 0.901 |
|
Helsinki-NLP/opus-mt-es-da | 2021-01-18T08:23:05.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"da",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 77 | transformers | ---
tags:
- translation
---
### opus-mt-es-da
* source languages: es
* target languages: da
* OPUS readme: [es-da](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-da/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-da/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-da/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-da/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.da | 55.7 | 0.712 |
|
Helsinki-NLP/opus-mt-es-de | 2021-01-18T08:23:11.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"de",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 129 | transformers | ---
tags:
- translation
---
### opus-mt-es-de
* source languages: es
* target languages: de
* OPUS readme: [es-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-de/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-de/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-de/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.de | 50.0 | 0.683 |
|
Helsinki-NLP/opus-mt-es-ee | 2021-01-18T08:23:17.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"ee",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 50 | transformers | ---
tags:
- translation
---
### opus-mt-es-ee
* source languages: es
* target languages: ee
* OPUS readme: [es-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ee/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-ee/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ee/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ee/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.es.ee | 25.6 | 0.470 |
|
Helsinki-NLP/opus-mt-es-efi | 2021-01-18T08:23:23.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"efi",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 40 | transformers | ---
tags:
- translation
---
### opus-mt-es-efi
* source languages: es
* target languages: efi
* OPUS readme: [es-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-efi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-efi/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-efi/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-efi/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.es.efi | 24.6 | 0.452 |
|
Helsinki-NLP/opus-mt-es-el | 2021-01-18T08:23:29.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"el",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 58 | transformers | ---
tags:
- translation
---
### opus-mt-es-el
* source languages: es
* target languages: el
* OPUS readme: [es-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-el/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-29.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-el/opus-2020-01-29.zip)
* test set translations: [opus-2020-01-29.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-el/opus-2020-01-29.test.txt)
* test set scores: [opus-2020-01-29.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-el/opus-2020-01-29.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.el | 48.6 | 0.661 |
|
Helsinki-NLP/opus-mt-es-en | 2021-01-18T08:23:34.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"en",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 76,867 | transformers | ---
language:
- es
- en
tags:
- translation
license: apache-2.0
---
### spa-eng
* source group: Spanish
* target group: English
* OPUS readme: [spa-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eng/README.md)
* model: transformer
* source language(s): spa
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-08-18.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.zip)
* test set translations: [opus-2020-08-18.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.test.txt)
* test set scores: [opus-2020-08-18.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-spaeng.spa.eng | 30.6 | 0.570 |
| news-test2008-spaeng.spa.eng | 27.9 | 0.553 |
| newstest2009-spaeng.spa.eng | 30.4 | 0.572 |
| newstest2010-spaeng.spa.eng | 36.1 | 0.614 |
| newstest2011-spaeng.spa.eng | 34.2 | 0.599 |
| newstest2012-spaeng.spa.eng | 37.9 | 0.624 |
| newstest2013-spaeng.spa.eng | 35.3 | 0.609 |
| Tatoeba-test.spa.eng | 59.6 | 0.739 |
### System Info:
- hf_name: spa-eng
- source_languages: spa
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'en']
- src_constituents: {'spa'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.test.txt
- src_alpha3: spa
- tgt_alpha3: eng
- short_pair: es-en
- chrF2_score: 0.7390000000000001
- bleu: 59.6
- brevity_penalty: 0.9740000000000001
- ref_len: 79376.0
- src_name: Spanish
- tgt_name: English
- train_date: 2020-08-18 00:00:00
- src_alpha2: es
- tgt_alpha2: en
- prefer_old: False
- long_pair: spa-eng
- helsinki_git_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82
- transformers_git_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9
- port_machine: brutasse
- port_time: 2020-08-24-18:20 |
Helsinki-NLP/opus-mt-es-eo | 2021-01-18T08:23:40.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"eo",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 39 | transformers | ---
tags:
- translation
---
### opus-mt-es-eo
* source languages: es
* target languages: eo
* OPUS readme: [es-eo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-eo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-eo/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-eo/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-eo/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.eo | 44.7 | 0.657 |
|
Helsinki-NLP/opus-mt-es-es | 2021-01-18T08:23:45.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 57 | transformers | ---
tags:
- translation
---
### opus-mt-es-es
* source languages: es
* target languages: es
* OPUS readme: [es-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-es/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-es/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-es/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.es.es | 51.7 | 0.688 |
|
Helsinki-NLP/opus-mt-es-et | 2021-01-18T08:23:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"et",
"transformers",
"translation",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 46 | transformers | ---
tags:
- translation
---
### opus-mt-es-et
* source languages: es
* target languages: et
* OPUS readme: [es-et](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-et/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-et/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-et/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-et/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.es.et | 20.7 | 0.466 |
|
Helsinki-NLP/opus-mt-es-eu | 2021-01-18T08:23:58.000Z | [
"pytorch",
"marian",
"seq2seq",
"es",
"eu",
"transformers",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"metadata.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
] | Helsinki-NLP | 66 | transformers | ---
language:
- es
- eu
tags:
- translation
license: apache-2.0
---
### spa-eus
* source group: Spanish
* target group: Basque
* OPUS readme: [spa-eus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eus/README.md)
* model: transformer-align
* source language(s): spa
* target language(s): eus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eus/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eus/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eus/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.eus | 37.0 | 0.638 |
### System Info:
- hf_name: spa-eus
- source_languages: spa
- target_languages: eus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'eu']
- src_constituents: {'spa'}
- tgt_constituents: {'eus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eus/opus-2020-06-17.test.txt
- src_alpha3: spa
- tgt_alpha3: eus
- short_pair: es-eu
- chrF2_score: 0.638
- bleu: 37.0
- brevity_penalty: 0.983
- ref_len: 10945.0
- src_name: Spanish
- tgt_name: Basque
- train_date: 2020-06-17
- src_alpha2: es
- tgt_alpha2: eu
- prefer_old: False
- long_pair: spa-eus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
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