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Helsinki-NLP/opus-mt-tn-fr | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tn",
"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 | 37 | transformers | ---
tags:
- translation
---
### opus-mt-tn-fr
* source languages: tn
* target languages: fr
* OPUS readme: [tn-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tn-fr/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/tn-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tn-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tn-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tn.fr | 29.0 | 0.474 |
|
Helsinki-NLP/opus-mt-tn-sv | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tn",
"sv",
"transformers",
"translation",
"text2text-generation"
]
| translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
]
| Helsinki-NLP | 30 | transformers | ---
tags:
- translation
---
### opus-mt-tn-sv
* source languages: tn
* target languages: sv
* OPUS readme: [tn-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tn-sv/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/tn-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tn-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tn-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tn.sv | 32.0 | 0.508 |
|
Helsinki-NLP/opus-mt-to-en | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"to",
"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 | 49 | transformers | ---
tags:
- translation
---
### opus-mt-to-en
* source languages: to
* target languages: en
* OPUS readme: [to-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/to-en/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/to-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.to.en | 49.3 | 0.627 |
|
Helsinki-NLP/opus-mt-to-es | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"to",
"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 | 45 | transformers | ---
tags:
- translation
---
### opus-mt-to-es
* source languages: to
* target languages: es
* OPUS readme: [to-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/to-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/to-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.to.es | 26.6 | 0.447 |
|
Helsinki-NLP/opus-mt-to-fr | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"to",
"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 | 29 | transformers | ---
tags:
- translation
---
### opus-mt-to-fr
* source languages: to
* target languages: fr
* OPUS readme: [to-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/to-fr/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/to-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.to.fr | 27.9 | 0.456 |
|
Helsinki-NLP/opus-mt-to-sv | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"to",
"sv",
"transformers",
"translation",
"text2text-generation"
]
| translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
]
| Helsinki-NLP | 23 | transformers | ---
tags:
- translation
---
### opus-mt-to-sv
* source languages: to
* target languages: sv
* OPUS readme: [to-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/to-sv/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/to-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.to.sv | 30.7 | 0.493 |
|
Helsinki-NLP/opus-mt-toi-en | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"toi",
"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 | 41 | transformers | ---
tags:
- translation
---
### opus-mt-toi-en
* source languages: toi
* target languages: en
* OPUS readme: [toi-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/toi-en/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/toi-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.toi.en | 39.0 | 0.539 |
|
Helsinki-NLP/opus-mt-toi-es | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"toi",
"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 | 40 | transformers | ---
tags:
- translation
---
### opus-mt-toi-es
* source languages: toi
* target languages: es
* OPUS readme: [toi-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/toi-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/toi-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.toi.es | 24.6 | 0.416 |
|
Helsinki-NLP/opus-mt-toi-fi | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"toi",
"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 | 27 | transformers | ---
tags:
- translation
---
### opus-mt-toi-fi
* source languages: toi
* target languages: fi
* OPUS readme: [toi-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/toi-fi/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/toi-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-fi/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.toi.fi | 24.5 | 0.464 |
|
Helsinki-NLP/opus-mt-toi-fr | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"toi",
"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 | 33 | transformers | ---
tags:
- translation
---
### opus-mt-toi-fr
* source languages: toi
* target languages: fr
* OPUS readme: [toi-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/toi-fr/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/toi-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.toi.fr | 26.5 | 0.432 |
|
Helsinki-NLP/opus-mt-toi-sv | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"toi",
"sv",
"transformers",
"translation",
"text2text-generation"
]
| translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
]
| Helsinki-NLP | 28 | transformers | ---
tags:
- translation
---
### opus-mt-toi-sv
* source languages: toi
* target languages: sv
* OPUS readme: [toi-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/toi-sv/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/toi-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/toi-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.toi.sv | 27.0 | 0.448 |
|
Helsinki-NLP/opus-mt-tpi-en | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tpi",
"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 | 51 | transformers | ---
tags:
- translation
---
### opus-mt-tpi-en
* source languages: tpi
* target languages: en
* OPUS readme: [tpi-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tpi-en/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/tpi-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tpi-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tpi-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tpi.en | 29.1 | 0.448 |
|
Helsinki-NLP/opus-mt-tpi-sv | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tpi",
"sv",
"transformers",
"translation",
"text2text-generation"
]
| translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
]
| Helsinki-NLP | 27 | transformers | ---
tags:
- translation
---
### opus-mt-tpi-sv
* source languages: tpi
* target languages: sv
* OPUS readme: [tpi-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tpi-sv/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/tpi-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tpi-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tpi-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tpi.sv | 21.6 | 0.396 |
|
Helsinki-NLP/opus-mt-tr-ar | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tr",
"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 | 27 | transformers | ---
language:
- tr
- ar
tags:
- translation
license: apache-2.0
---
### tur-ara
* source group: Turkish
* target group: Arabic
* OPUS readme: [tur-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-ara/README.md)
* model: transformer
* source language(s): tur
* target language(s): apc_Latn ara ara_Latn arq_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-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-ara/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tur.ara | 14.9 | 0.455 |
### System Info:
- hf_name: tur-ara
- source_languages: tur
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tr', 'ar']
- src_constituents: {'tur'}
- 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/tur-ara/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-ara/opus-2020-07-03.test.txt
- src_alpha3: tur
- tgt_alpha3: ara
- short_pair: tr-ar
- chrF2_score: 0.455
- bleu: 14.9
- brevity_penalty: 0.988
- ref_len: 6944.0
- src_name: Turkish
- tgt_name: Arabic
- train_date: 2020-07-03
- src_alpha2: tr
- tgt_alpha2: ar
- prefer_old: False
- long_pair: tur-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-tr-az | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tr",
"az",
"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 | 22 | transformers | ---
language:
- tr
- az
tags:
- translation
license: apache-2.0
---
### tur-aze
* source group: Turkish
* target group: Azerbaijani
* OPUS readme: [tur-aze](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-aze/README.md)
* model: transformer-align
* source language(s): tur
* target language(s): aze_Latn
* 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/tur-aze/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-aze/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-aze/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tur.aze | 27.7 | 0.551 |
### System Info:
- hf_name: tur-aze
- source_languages: tur
- target_languages: aze
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-aze/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tr', 'az']
- src_constituents: {'tur'}
- tgt_constituents: {'aze_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-aze/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-aze/opus-2020-06-16.test.txt
- src_alpha3: tur
- tgt_alpha3: aze
- short_pair: tr-az
- chrF2_score: 0.551
- bleu: 27.7
- brevity_penalty: 1.0
- ref_len: 5436.0
- src_name: Turkish
- tgt_name: Azerbaijani
- train_date: 2020-06-16
- src_alpha2: tr
- tgt_alpha2: az
- prefer_old: False
- long_pair: tur-aze
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-tr-en | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tr",
"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 | 2,462 | transformers | ---
tags:
- translation
---
### opus-mt-tr-en
* source languages: tr
* target languages: en
* OPUS readme: [tr-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tr-en/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/tr-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2016-entr.tr.en | 27.6 | 0.548 |
| newstest2016-entr.tr.en | 25.2 | 0.532 |
| newstest2017-entr.tr.en | 24.7 | 0.530 |
| newstest2018-entr.tr.en | 27.0 | 0.547 |
| Tatoeba.tr.en | 63.5 | 0.760 |
|
Helsinki-NLP/opus-mt-tr-eo | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tr",
"eo",
"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 | 23 | transformers | ---
language:
- tr
- eo
tags:
- translation
license: apache-2.0
---
### tur-epo
* source group: Turkish
* target group: Esperanto
* OPUS readme: [tur-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-epo/README.md)
* model: transformer-align
* source language(s): tur
* target language(s): epo
* 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/tur-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tur.epo | 17.0 | 0.373 |
### System Info:
- hf_name: tur-epo
- source_languages: tur
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tr', 'eo']
- src_constituents: {'tur'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-epo/opus-2020-06-16.test.txt
- src_alpha3: tur
- tgt_alpha3: epo
- short_pair: tr-eo
- chrF2_score: 0.373
- bleu: 17.0
- brevity_penalty: 0.8809999999999999
- ref_len: 33762.0
- src_name: Turkish
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: tr
- tgt_alpha2: eo
- prefer_old: False
- long_pair: tur-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-tr-es | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tr",
"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 | 36 | transformers | ---
tags:
- translation
---
### opus-mt-tr-es
* source languages: tr
* target languages: es
* OPUS readme: [tr-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tr-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/tr-es/opus-2020-01-26.zip)
* test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-es/opus-2020-01-26.test.txt)
* test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-es/opus-2020-01-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.tr.es | 56.3 | 0.722 |
|
Helsinki-NLP/opus-mt-tr-fr | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tr",
"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 | 307 | transformers | ---
tags:
- translation
---
### opus-mt-tr-fr
* source languages: tr
* target languages: fr
* OPUS readme: [tr-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tr-fr/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/tr-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.tr.fr | 45.3 | 0.627 |
|
Helsinki-NLP/opus-mt-tr-lt | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tr",
"lt",
"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:
- tr
- lt
tags:
- translation
license: apache-2.0
---
### tur-lit
* source group: Turkish
* target group: Lithuanian
* OPUS readme: [tur-lit](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-lit/README.md)
* model: transformer-align
* source language(s): tur
* target language(s): lit
* 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/tur-lit/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-lit/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-lit/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tur.lit | 35.6 | 0.631 |
### System Info:
- hf_name: tur-lit
- source_languages: tur
- target_languages: lit
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-lit/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tr', 'lt']
- src_constituents: {'tur'}
- tgt_constituents: {'lit'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-lit/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-lit/opus-2020-06-17.test.txt
- src_alpha3: tur
- tgt_alpha3: lit
- short_pair: tr-lt
- chrF2_score: 0.631
- bleu: 35.6
- brevity_penalty: 0.9490000000000001
- ref_len: 8285.0
- src_name: Turkish
- tgt_name: Lithuanian
- train_date: 2020-06-17
- src_alpha2: tr
- tgt_alpha2: lt
- prefer_old: False
- long_pair: tur-lit
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-tr-sv | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tr",
"sv",
"transformers",
"translation",
"text2text-generation"
]
| translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
]
| Helsinki-NLP | 34 | transformers | ---
tags:
- translation
---
### opus-mt-tr-sv
* source languages: tr
* target languages: sv
* OPUS readme: [tr-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tr-sv/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/tr-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tr-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tr.sv | 26.3 | 0.478 |
|
Helsinki-NLP/opus-mt-tr-uk | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tr",
"uk",
"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 | 23 | transformers | ---
language:
- tr
- uk
tags:
- translation
license: apache-2.0
---
### tur-ukr
* source group: Turkish
* target group: Ukrainian
* OPUS readme: [tur-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-ukr/README.md)
* model: transformer-align
* source language(s): tur
* target language(s): ukr
* 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/tur-ukr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-ukr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/tur-ukr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tur.ukr | 42.5 | 0.624 |
### System Info:
- hf_name: tur-ukr
- source_languages: tur
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tr', 'uk']
- src_constituents: {'tur'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-ukr/opus-2020-06-17.test.txt
- src_alpha3: tur
- tgt_alpha3: ukr
- short_pair: tr-uk
- chrF2_score: 0.624
- bleu: 42.5
- brevity_penalty: 0.983
- ref_len: 12988.0
- src_name: Turkish
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: tr
- tgt_alpha2: uk
- prefer_old: False
- long_pair: tur-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-trk-en | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tt",
"cv",
"tk",
"tr",
"ba",
"trk",
"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 | 27 | transformers | ---
language:
- tt
- cv
- tk
- tr
- ba
- trk
- en
tags:
- translation
license: apache-2.0
---
### trk-eng
* source group: Turkic languages
* target group: English
* OPUS readme: [trk-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/trk-eng/README.md)
* model: transformer
* source 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
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/trk-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/trk-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/trk-eng/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2016-entr-tureng.tur.eng | 5.0 | 0.242 |
| newstest2016-entr-tureng.tur.eng | 3.7 | 0.231 |
| newstest2017-entr-tureng.tur.eng | 3.7 | 0.229 |
| newstest2018-entr-tureng.tur.eng | 4.1 | 0.230 |
| Tatoeba-test.aze-eng.aze.eng | 15.1 | 0.330 |
| Tatoeba-test.bak-eng.bak.eng | 3.3 | 0.185 |
| Tatoeba-test.chv-eng.chv.eng | 1.3 | 0.161 |
| Tatoeba-test.crh-eng.crh.eng | 10.8 | 0.325 |
| Tatoeba-test.kaz-eng.kaz.eng | 9.6 | 0.264 |
| Tatoeba-test.kir-eng.kir.eng | 15.3 | 0.328 |
| Tatoeba-test.kjh-eng.kjh.eng | 1.8 | 0.121 |
| Tatoeba-test.kum-eng.kum.eng | 16.1 | 0.277 |
| Tatoeba-test.multi.eng | 12.0 | 0.304 |
| Tatoeba-test.ota-eng.ota.eng | 2.0 | 0.149 |
| Tatoeba-test.sah-eng.sah.eng | 0.7 | 0.140 |
| Tatoeba-test.tat-eng.tat.eng | 4.0 | 0.215 |
| Tatoeba-test.tuk-eng.tuk.eng | 5.5 | 0.243 |
| Tatoeba-test.tur-eng.tur.eng | 26.8 | 0.443 |
| Tatoeba-test.tyv-eng.tyv.eng | 1.3 | 0.111 |
| Tatoeba-test.uig-eng.uig.eng | 0.2 | 0.111 |
| Tatoeba-test.uzb-eng.uzb.eng | 4.6 | 0.195 |
### System Info:
- hf_name: trk-eng
- source_languages: trk
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/trk-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tt', 'cv', 'tk', 'tr', 'ba', 'trk', 'en']
- src_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'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/trk-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/trk-eng/opus2m-2020-08-01.test.txt
- src_alpha3: trk
- tgt_alpha3: eng
- short_pair: trk-en
- chrF2_score: 0.304
- bleu: 12.0
- brevity_penalty: 1.0
- ref_len: 18733.0
- src_name: Turkic languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: trk
- tgt_alpha2: en
- prefer_old: False
- long_pair: trk-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-ts-en | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"ts",
"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 | 42 | transformers | ---
tags:
- translation
---
### opus-mt-ts-en
* source languages: ts
* target languages: en
* OPUS readme: [ts-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ts-en/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/ts-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ts.en | 44.0 | 0.590 |
|
Helsinki-NLP/opus-mt-ts-es | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"ts",
"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 | 30 | transformers | ---
tags:
- translation
---
### opus-mt-ts-es
* source languages: ts
* target languages: es
* OPUS readme: [ts-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ts-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/ts-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ts.es | 28.1 | 0.468 |
|
Helsinki-NLP/opus-mt-ts-fi | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"ts",
"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 | 33 | transformers | ---
tags:
- translation
---
### opus-mt-ts-fi
* source languages: ts
* target languages: fi
* OPUS readme: [ts-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ts-fi/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/ts-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-fi/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ts.fi | 27.7 | 0.509 |
|
Helsinki-NLP/opus-mt-ts-fr | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"ts",
"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 | 26 | transformers | ---
tags:
- translation
---
### opus-mt-ts-fr
* source languages: ts
* target languages: fr
* OPUS readme: [ts-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ts-fr/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/ts-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ts.fr | 29.9 | 0.475 |
|
Helsinki-NLP/opus-mt-ts-sv | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"ts",
"sv",
"transformers",
"translation",
"text2text-generation"
]
| translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
]
| Helsinki-NLP | 29 | transformers | ---
tags:
- translation
---
### opus-mt-ts-sv
* source languages: ts
* target languages: sv
* OPUS readme: [ts-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ts-sv/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/ts-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ts-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ts.sv | 32.6 | 0.510 |
|
Helsinki-NLP/opus-mt-tum-en | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tum",
"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 | 39 | transformers | ---
tags:
- translation
---
### opus-mt-tum-en
* source languages: tum
* target languages: en
* OPUS readme: [tum-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tum-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/tum-en/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-en/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-en/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tum.en | 31.7 | 0.470 |
|
Helsinki-NLP/opus-mt-tum-es | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tum",
"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 | 41 | transformers | ---
tags:
- translation
---
### opus-mt-tum-es
* source languages: tum
* target languages: es
* OPUS readme: [tum-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tum-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/tum-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tum.es | 22.6 | 0.390 |
|
Helsinki-NLP/opus-mt-tum-fr | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tum",
"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 | 38 | transformers | ---
tags:
- translation
---
### opus-mt-tum-fr
* source languages: tum
* target languages: fr
* OPUS readme: [tum-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tum-fr/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/tum-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tum.fr | 24.0 | 0.403 |
|
Helsinki-NLP/opus-mt-tum-sv | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tum",
"sv",
"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-tum-sv
* source languages: tum
* target languages: sv
* OPUS readme: [tum-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tum-sv/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/tum-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tum-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tum.sv | 23.3 | 0.410 |
|
Helsinki-NLP/opus-mt-tvl-en | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tvl",
"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 | 36 | transformers | ---
tags:
- translation
---
### opus-mt-tvl-en
* source languages: tvl
* target languages: en
* OPUS readme: [tvl-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tvl-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/tvl-en/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-en/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-en/opus-2020-01-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tvl.en | 37.3 | 0.528 |
|
Helsinki-NLP/opus-mt-tvl-es | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tvl",
"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 | 38 | transformers | ---
tags:
- translation
---
### opus-mt-tvl-es
* source languages: tvl
* target languages: es
* OPUS readme: [tvl-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tvl-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/tvl-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tvl.es | 21.0 | 0.388 |
|
Helsinki-NLP/opus-mt-tvl-fi | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tvl",
"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 | 30 | transformers | ---
tags:
- translation
---
### opus-mt-tvl-fi
* source languages: tvl
* target languages: fi
* OPUS readme: [tvl-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tvl-fi/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/tvl-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-fi/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tvl.fi | 22.0 | 0.439 |
|
Helsinki-NLP/opus-mt-tvl-fr | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tvl",
"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 | 59 | transformers | ---
tags:
- translation
---
### opus-mt-tvl-fr
* source languages: tvl
* target languages: fr
* OPUS readme: [tvl-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tvl-fr/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/tvl-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tvl.fr | 24.0 | 0.410 |
|
Helsinki-NLP/opus-mt-tvl-sv | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tvl",
"sv",
"transformers",
"translation",
"text2text-generation"
]
| translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
]
| Helsinki-NLP | 29 | transformers | ---
tags:
- translation
---
### opus-mt-tvl-sv
* source languages: tvl
* target languages: sv
* OPUS readme: [tvl-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tvl-sv/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/tvl-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tvl-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tvl.sv | 24.7 | 0.427 |
|
Helsinki-NLP/opus-mt-tw-es | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tw",
"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 | 34 | transformers | ---
tags:
- translation
---
### opus-mt-tw-es
* source languages: tw
* target languages: es
* OPUS readme: [tw-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tw-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/tw-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tw-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tw-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tw.es | 25.9 | 0.441 |
|
Helsinki-NLP/opus-mt-tw-fi | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tw",
"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 | 37 | transformers | ---
tags:
- translation
---
### opus-mt-tw-fi
* source languages: tw
* target languages: fi
* OPUS readme: [tw-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tw-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/tw-fi/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tw-fi/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tw-fi/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tw.fi | 25.6 | 0.488 |
|
Helsinki-NLP/opus-mt-tw-fr | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tw",
"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 | 43 | transformers | ---
tags:
- translation
---
### opus-mt-tw-fr
* source languages: tw
* target languages: fr
* OPUS readme: [tw-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tw-fr/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/tw-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tw-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tw-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tw.fr | 26.7 | 0.442 |
|
Helsinki-NLP/opus-mt-tw-sv | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tw",
"sv",
"transformers",
"translation",
"text2text-generation"
]
| translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
]
| Helsinki-NLP | 27 | transformers | ---
tags:
- translation
---
### opus-mt-tw-sv
* source languages: tw
* target languages: sv
* OPUS readme: [tw-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tw-sv/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/tw-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tw-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tw-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tw.sv | 29.0 | 0.471 |
|
Helsinki-NLP/opus-mt-ty-es | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"ty",
"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 | 36 | transformers | ---
tags:
- translation
---
### opus-mt-ty-es
* source languages: ty
* target languages: es
* OPUS readme: [ty-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ty-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/ty-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ty.es | 27.3 | 0.457 |
|
Helsinki-NLP/opus-mt-ty-fi | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"ty",
"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 | 27 | transformers | ---
tags:
- translation
---
### opus-mt-ty-fi
* source languages: ty
* target languages: fi
* OPUS readme: [ty-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ty-fi/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/ty-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-fi/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ty.fi | 21.7 | 0.451 |
|
Helsinki-NLP/opus-mt-ty-fr | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"ty",
"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 | 44 | transformers | ---
tags:
- translation
---
### opus-mt-ty-fr
* source languages: ty
* target languages: fr
* OPUS readme: [ty-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ty-fr/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/ty-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ty.fr | 30.2 | 0.480 |
|
Helsinki-NLP/opus-mt-ty-sv | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"ty",
"sv",
"transformers",
"translation",
"text2text-generation"
]
| translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
]
| Helsinki-NLP | 27 | transformers | ---
tags:
- translation
---
### opus-mt-ty-sv
* source languages: ty
* target languages: sv
* OPUS readme: [ty-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ty-sv/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/ty-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ty-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ty.sv | 28.9 | 0.472 |
|
Helsinki-NLP/opus-mt-tzo-es | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"tzo",
"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 | 28 | transformers | ---
tags:
- translation
---
### opus-mt-tzo-es
* source languages: tzo
* target languages: es
* OPUS readme: [tzo-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tzo-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/tzo-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/tzo-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/tzo-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.tzo.es | 20.8 | 0.381 |
|
Helsinki-NLP/opus-mt-uk-bg | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"uk",
"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 | 22 | transformers | ---
language:
- uk
- bg
tags:
- translation
license: apache-2.0
---
### ukr-bul
* source group: Ukrainian
* target group: Bulgarian
* OPUS readme: [ukr-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-bul/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): bul
* 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/ukr-bul/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-bul/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-bul/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.bul | 55.7 | 0.734 |
### System Info:
- hf_name: ukr-bul
- source_languages: ukr
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'bg']
- src_constituents: {'ukr'}
- 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/ukr-bul/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-bul/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: bul
- short_pair: uk-bg
- chrF2_score: 0.7340000000000001
- bleu: 55.7
- brevity_penalty: 0.976
- ref_len: 5181.0
- src_name: Ukrainian
- tgt_name: Bulgarian
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: bg
- prefer_old: False
- long_pair: ukr-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-uk-ca | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"uk",
"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 | 24 | transformers | ---
language:
- uk
- ca
tags:
- translation
license: apache-2.0
---
### ukr-cat
* source group: Ukrainian
* target group: Catalan
* OPUS readme: [ukr-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-cat/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): cat
* 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/ukr-cat/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-cat/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-cat/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.cat | 33.7 | 0.538 |
### System Info:
- hf_name: ukr-cat
- source_languages: ukr
- target_languages: cat
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-cat/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'ca']
- src_constituents: {'ukr'}
- tgt_constituents: {'cat'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-cat/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-cat/opus-2020-06-16.test.txt
- src_alpha3: ukr
- tgt_alpha3: cat
- short_pair: uk-ca
- chrF2_score: 0.5379999999999999
- bleu: 33.7
- brevity_penalty: 0.972
- ref_len: 2670.0
- src_name: Ukrainian
- tgt_name: Catalan
- train_date: 2020-06-16
- src_alpha2: uk
- tgt_alpha2: ca
- prefer_old: False
- long_pair: ukr-cat
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-uk-cs | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"uk",
"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 | 28 | transformers | ---
language:
- uk
- cs
tags:
- translation
license: apache-2.0
---
### ukr-ces
* source group: Ukrainian
* target group: Czech
* OPUS readme: [ukr-ces](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-ces/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): ces
* 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/ukr-ces/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ces/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ces/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.ces | 52.0 | 0.686 |
### System Info:
- hf_name: ukr-ces
- source_languages: ukr
- target_languages: ces
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-ces/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'cs']
- src_constituents: {'ukr'}
- tgt_constituents: {'ces'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ces/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ces/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: ces
- short_pair: uk-cs
- chrF2_score: 0.6859999999999999
- bleu: 52.0
- brevity_penalty: 0.993
- ref_len: 8550.0
- src_name: Ukrainian
- tgt_name: Czech
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: cs
- prefer_old: False
- long_pair: ukr-ces
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-uk-de | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"uk",
"de",
"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 | 25 | transformers | ---
language:
- uk
- de
tags:
- translation
license: apache-2.0
---
### ukr-deu
* source group: Ukrainian
* target group: German
* OPUS readme: [ukr-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-deu/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): deu
* 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/ukr-deu/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-deu/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-deu/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.deu | 48.2 | 0.661 |
### System Info:
- hf_name: ukr-deu
- source_languages: ukr
- target_languages: deu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-deu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'de']
- src_constituents: {'ukr'}
- tgt_constituents: {'deu'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-deu/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-deu/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: deu
- short_pair: uk-de
- chrF2_score: 0.6609999999999999
- bleu: 48.2
- brevity_penalty: 0.98
- ref_len: 62298.0
- src_name: Ukrainian
- tgt_name: German
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: de
- prefer_old: False
- long_pair: ukr-deu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-uk-en | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"uk",
"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 | 589 | transformers | ---
tags:
- translation
---
### opus-mt-uk-en
* source languages: uk
* target languages: en
* OPUS readme: [uk-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/uk-en/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/uk-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.uk.en | 64.1 | 0.757 |
|
Helsinki-NLP/opus-mt-uk-es | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"uk",
"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 | 29 | transformers | ---
tags:
- translation
---
### opus-mt-uk-es
* source languages: uk
* target languages: es
* OPUS readme: [uk-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/uk-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/uk-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.uk.es | 50.4 | 0.680 |
|
Helsinki-NLP/opus-mt-uk-fi | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"uk",
"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 | 42 | transformers | ---
tags:
- translation
---
### opus-mt-uk-fi
* source languages: uk
* target languages: fi
* OPUS readme: [uk-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/uk-fi/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/uk-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-fi/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.uk.fi | 24.4 | 0.490 |
|
Helsinki-NLP/opus-mt-uk-fr | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"uk",
"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 | 52 | transformers | ---
tags:
- translation
---
### opus-mt-uk-fr
* source languages: uk
* target languages: fr
* OPUS readme: [uk-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/uk-fr/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/uk-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.uk.fr | 52.1 | 0.681 |
|
Helsinki-NLP/opus-mt-uk-he | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"uk",
"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 | 28 | transformers | ---
language:
- uk
- he
tags:
- translation
license: apache-2.0
---
### ukr-heb
* source group: Ukrainian
* target group: Hebrew
* OPUS readme: [ukr-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-heb/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): heb
* 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/ukr-heb/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-heb/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-heb/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.heb | 35.7 | 0.557 |
### System Info:
- hf_name: ukr-heb
- source_languages: ukr
- target_languages: heb
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-heb/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'he']
- src_constituents: {'ukr'}
- tgt_constituents: {'heb'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-heb/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-heb/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: heb
- short_pair: uk-he
- chrF2_score: 0.557
- bleu: 35.7
- brevity_penalty: 1.0
- ref_len: 4765.0
- src_name: Ukrainian
- tgt_name: Hebrew
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: he
- prefer_old: False
- long_pair: ukr-heb
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-uk-hu | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"uk",
"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 | 26 | transformers | ---
language:
- uk
- hu
tags:
- translation
license: apache-2.0
---
### ukr-hun
* source group: Ukrainian
* target group: Hungarian
* OPUS readme: [ukr-hun](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-hun/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): hun
* 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/ukr-hun/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hun/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hun/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.hun | 41.4 | 0.649 |
### System Info:
- hf_name: ukr-hun
- source_languages: ukr
- target_languages: hun
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-hun/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'hu']
- src_constituents: {'ukr'}
- tgt_constituents: {'hun'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hun/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hun/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: hun
- short_pair: uk-hu
- chrF2_score: 0.649
- bleu: 41.4
- brevity_penalty: 0.9740000000000001
- ref_len: 2433.0
- src_name: Ukrainian
- tgt_name: Hungarian
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: hu
- prefer_old: False
- long_pair: ukr-hun
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-uk-it | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"uk",
"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 | 23 | transformers | ---
language:
- uk
- it
tags:
- translation
license: apache-2.0
---
### ukr-ita
* source group: Ukrainian
* target group: Italian
* OPUS readme: [ukr-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-ita/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): ita
* 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/ukr-ita/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ita/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ita/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.ita | 46.0 | 0.662 |
### System Info:
- hf_name: ukr-ita
- source_languages: ukr
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'it']
- src_constituents: {'ukr'}
- tgt_constituents: {'ita'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ita/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-ita/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: ita
- short_pair: uk-it
- chrF2_score: 0.662
- bleu: 46.0
- brevity_penalty: 0.9490000000000001
- ref_len: 27846.0
- src_name: Ukrainian
- tgt_name: Italian
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: it
- prefer_old: False
- long_pair: ukr-ita
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-uk-nl | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"uk",
"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 | 30 | transformers | ---
language:
- uk
- nl
tags:
- translation
license: apache-2.0
---
### ukr-nld
* source group: Ukrainian
* target group: Dutch
* OPUS readme: [ukr-nld](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-nld/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): nld
* 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/ukr-nld/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nld/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nld/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.nld | 48.7 | 0.656 |
### System Info:
- hf_name: ukr-nld
- source_languages: ukr
- target_languages: nld
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-nld/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'nl']
- src_constituents: {'ukr'}
- tgt_constituents: {'nld'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nld/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nld/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: nld
- short_pair: uk-nl
- chrF2_score: 0.6559999999999999
- bleu: 48.7
- brevity_penalty: 0.985
- ref_len: 59943.0
- src_name: Ukrainian
- tgt_name: Dutch
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: nl
- prefer_old: False
- long_pair: ukr-nld
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-uk-no | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"uk",
"no",
"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 | 25 | transformers | ---
language:
- uk
- no
tags:
- translation
license: apache-2.0
---
### ukr-nor
* source group: Ukrainian
* target group: Norwegian
* OPUS readme: [ukr-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-nor/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): nob
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nor/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nor/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nor/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.nor | 21.3 | 0.397 |
### System Info:
- hf_name: ukr-nor
- source_languages: ukr
- target_languages: nor
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-nor/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'no']
- src_constituents: {'ukr'}
- tgt_constituents: {'nob', 'nno'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nor/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-nor/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: nor
- short_pair: uk-no
- chrF2_score: 0.397
- bleu: 21.3
- brevity_penalty: 0.966
- ref_len: 4378.0
- src_name: Ukrainian
- tgt_name: Norwegian
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: no
- prefer_old: False
- long_pair: ukr-nor
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-uk-pl | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"uk",
"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 | 23 | transformers | ---
language:
- uk
- pl
tags:
- translation
license: apache-2.0
---
### ukr-pol
* source group: Ukrainian
* target group: Polish
* OPUS readme: [ukr-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-pol/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): pol
* 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/ukr-pol/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-pol/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-pol/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.pol | 49.9 | 0.685 |
### System Info:
- hf_name: ukr-pol
- source_languages: ukr
- target_languages: pol
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-pol/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'pl']
- src_constituents: {'ukr'}
- tgt_constituents: {'pol'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-pol/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-pol/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: pol
- short_pair: uk-pl
- chrF2_score: 0.685
- bleu: 49.9
- brevity_penalty: 0.9470000000000001
- ref_len: 13098.0
- src_name: Ukrainian
- tgt_name: Polish
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: pl
- prefer_old: False
- long_pair: ukr-pol
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-uk-pt | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"uk",
"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 | 21 | transformers | ---
language:
- uk
- pt
tags:
- translation
license: apache-2.0
---
### ukr-por
* source group: Ukrainian
* target group: Portuguese
* OPUS readme: [ukr-por](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-por/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): por
* 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/ukr-por/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-por/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-por/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.por | 38.1 | 0.601 |
### System Info:
- hf_name: ukr-por
- source_languages: ukr
- target_languages: por
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-por/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'pt']
- src_constituents: {'ukr'}
- tgt_constituents: {'por'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-por/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-por/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: por
- short_pair: uk-pt
- chrF2_score: 0.601
- bleu: 38.1
- brevity_penalty: 0.981
- ref_len: 21315.0
- src_name: Ukrainian
- tgt_name: Portuguese
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: pt
- prefer_old: False
- long_pair: ukr-por
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-uk-ru | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"uk",
"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 | 32 | transformers | ---
language:
- uk
- ru
tags:
- translation
license: apache-2.0
---
### ukr-rus
* source group: Ukrainian
* target group: Russian
* OPUS readme: [ukr-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-rus/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): rus
* 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/ukr-rus/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-rus/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-rus/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.rus | 69.2 | 0.826 |
### System Info:
- hf_name: ukr-rus
- source_languages: ukr
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'ru']
- src_constituents: {'ukr'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-rus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-rus/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: rus
- short_pair: uk-ru
- chrF2_score: 0.826
- bleu: 69.2
- brevity_penalty: 0.992
- ref_len: 60387.0
- src_name: Ukrainian
- tgt_name: Russian
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: ru
- prefer_old: False
- long_pair: ukr-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-uk-sh | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"uk",
"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 | 23 | transformers | ---
language:
- uk
- sh
tags:
- translation
license: apache-2.0
---
### ukr-hbs
* source group: Ukrainian
* target group: Serbo-Croatian
* OPUS readme: [ukr-hbs](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-hbs/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): hrv srp_Cyrl srp_Latn
* 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/ukr-hbs/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hbs/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hbs/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.hbs | 42.8 | 0.631 |
### System Info:
- hf_name: ukr-hbs
- source_languages: ukr
- target_languages: hbs
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-hbs/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'sh']
- src_constituents: {'ukr'}
- tgt_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hbs/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hbs/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: hbs
- short_pair: uk-sh
- chrF2_score: 0.631
- bleu: 42.8
- brevity_penalty: 0.96
- ref_len: 5128.0
- src_name: Ukrainian
- tgt_name: Serbo-Croatian
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: sh
- prefer_old: False
- long_pair: ukr-hbs
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-uk-sl | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"uk",
"sl",
"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:
- uk
- sl
tags:
- translation
license: apache-2.0
---
### ukr-slv
* source group: Ukrainian
* target group: Slovenian
* OPUS readme: [ukr-slv](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-slv/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): slv
* 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/ukr-slv/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-slv/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-slv/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.slv | 11.8 | 0.280 |
### System Info:
- hf_name: ukr-slv
- source_languages: ukr
- target_languages: slv
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-slv/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'sl']
- src_constituents: {'ukr'}
- tgt_constituents: {'slv'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-slv/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-slv/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: slv
- short_pair: uk-sl
- chrF2_score: 0.28
- bleu: 11.8
- brevity_penalty: 1.0
- ref_len: 3823.0
- src_name: Ukrainian
- tgt_name: Slovenian
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: sl
- prefer_old: False
- long_pair: ukr-slv
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-uk-sv | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"uk",
"sv",
"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-uk-sv
* source languages: uk
* target languages: sv
* OPUS readme: [uk-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/uk-sv/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/uk-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/uk-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.uk.sv | 27.8 | 0.474 |
|
Helsinki-NLP/opus-mt-uk-tr | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"uk",
"tr",
"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:
- uk
- tr
tags:
- translation
license: apache-2.0
---
### ukr-tur
* source group: Ukrainian
* target group: Turkish
* OPUS readme: [ukr-tur](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-tur/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): tur
* 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/ukr-tur/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-tur/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-tur/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.tur | 39.3 | 0.655 |
### System Info:
- hf_name: ukr-tur
- source_languages: ukr
- target_languages: tur
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-tur/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'tr']
- src_constituents: {'ukr'}
- tgt_constituents: {'tur'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-tur/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-tur/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: tur
- short_pair: uk-tr
- chrF2_score: 0.655
- bleu: 39.3
- brevity_penalty: 0.934
- ref_len: 11844.0
- src_name: Ukrainian
- tgt_name: Turkish
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: tr
- prefer_old: False
- long_pair: ukr-tur
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-umb-en | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"umb",
"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 | 42 | transformers | ---
tags:
- translation
---
### opus-mt-umb-en
* source languages: umb
* target languages: en
* OPUS readme: [umb-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/umb-en/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/umb-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/umb-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/umb-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.umb.en | 27.5 | 0.425 |
|
Helsinki-NLP/opus-mt-ur-en | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"ur",
"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 | 180 | transformers | ---
language:
- ur
- en
tags:
- translation
license: apache-2.0
---
### urd-eng
* source group: Urdu
* target group: English
* OPUS readme: [urd-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/urd-eng/README.md)
* model: transformer-align
* source language(s): urd
* target language(s): eng
* 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/urd-eng/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/urd-eng/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/urd-eng/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.urd.eng | 23.2 | 0.435 |
### System Info:
- hf_name: urd-eng
- source_languages: urd
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/urd-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ur', 'en']
- src_constituents: {'urd'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/urd-eng/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/urd-eng/opus-2020-06-17.test.txt
- src_alpha3: urd
- tgt_alpha3: eng
- short_pair: ur-en
- chrF2_score: 0.435
- bleu: 23.2
- brevity_penalty: 0.975
- ref_len: 12029.0
- src_name: Urdu
- tgt_name: English
- train_date: 2020-06-17
- src_alpha2: ur
- tgt_alpha2: en
- prefer_old: False
- long_pair: urd-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-urj-en | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"se",
"fi",
"hu",
"et",
"urj",
"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 | 24 | transformers | ---
language:
- se
- fi
- hu
- et
- urj
- en
tags:
- translation
license: apache-2.0
---
### urj-eng
* source group: Uralic languages
* target group: English
* OPUS readme: [urj-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/urj-eng/README.md)
* model: transformer
* source language(s): est fin fkv_Latn hun izh kpv krl liv_Latn mdf mhr myv sma sme udm vro
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/urj-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/urj-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/urj-eng/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2015-enfi-fineng.fin.eng | 22.7 | 0.511 |
| newsdev2018-enet-esteng.est.eng | 26.6 | 0.545 |
| newssyscomb2009-huneng.hun.eng | 21.3 | 0.493 |
| newstest2009-huneng.hun.eng | 20.1 | 0.487 |
| newstest2015-enfi-fineng.fin.eng | 23.9 | 0.521 |
| newstest2016-enfi-fineng.fin.eng | 25.8 | 0.542 |
| newstest2017-enfi-fineng.fin.eng | 28.9 | 0.562 |
| newstest2018-enet-esteng.est.eng | 27.0 | 0.552 |
| newstest2018-enfi-fineng.fin.eng | 21.2 | 0.492 |
| newstest2019-fien-fineng.fin.eng | 25.3 | 0.531 |
| newstestB2016-enfi-fineng.fin.eng | 21.3 | 0.500 |
| newstestB2017-enfi-fineng.fin.eng | 24.4 | 0.528 |
| newstestB2017-fien-fineng.fin.eng | 24.4 | 0.528 |
| Tatoeba-test.chm-eng.chm.eng | 0.8 | 0.131 |
| Tatoeba-test.est-eng.est.eng | 34.5 | 0.526 |
| Tatoeba-test.fin-eng.fin.eng | 28.1 | 0.485 |
| Tatoeba-test.fkv-eng.fkv.eng | 6.8 | 0.335 |
| Tatoeba-test.hun-eng.hun.eng | 25.1 | 0.452 |
| Tatoeba-test.izh-eng.izh.eng | 11.6 | 0.224 |
| Tatoeba-test.kom-eng.kom.eng | 2.4 | 0.110 |
| Tatoeba-test.krl-eng.krl.eng | 18.6 | 0.365 |
| Tatoeba-test.liv-eng.liv.eng | 0.5 | 0.078 |
| Tatoeba-test.mdf-eng.mdf.eng | 1.5 | 0.117 |
| Tatoeba-test.multi.eng | 47.8 | 0.646 |
| Tatoeba-test.myv-eng.myv.eng | 0.5 | 0.101 |
| Tatoeba-test.sma-eng.sma.eng | 1.2 | 0.110 |
| Tatoeba-test.sme-eng.sme.eng | 1.5 | 0.147 |
| Tatoeba-test.udm-eng.udm.eng | 1.0 | 0.130 |
### System Info:
- hf_name: urj-eng
- source_languages: urj
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/urj-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['se', 'fi', 'hu', 'et', 'urj', 'en']
- src_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/urj-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/urj-eng/opus2m-2020-08-01.test.txt
- src_alpha3: urj
- tgt_alpha3: eng
- short_pair: urj-en
- chrF2_score: 0.6459999999999999
- bleu: 47.8
- brevity_penalty: 0.993
- ref_len: 70882.0
- src_name: Uralic languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: urj
- tgt_alpha2: en
- prefer_old: False
- long_pair: urj-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-urj-urj | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"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 | 53 | transformers | ---
language:
- se
- fi
- hu
- et
- urj
tags:
- translation
license: apache-2.0
---
### urj-urj
* source group: Uralic languages
* target group: Uralic languages
* OPUS readme: [urj-urj](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/urj-urj/README.md)
* model: transformer
* source language(s): est fin fkv_Latn hun izh krl liv_Latn vep vro
* target language(s): est fin fkv_Latn hun izh krl liv_Latn vep 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: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/urj-urj/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/urj-urj/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/urj-urj/opus-2020-07-27.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.est-est.est.est | 5.1 | 0.288 |
| Tatoeba-test.est-fin.est.fin | 50.9 | 0.709 |
| Tatoeba-test.est-fkv.est.fkv | 0.7 | 0.215 |
| Tatoeba-test.est-vep.est.vep | 1.0 | 0.154 |
| Tatoeba-test.fin-est.fin.est | 55.5 | 0.718 |
| Tatoeba-test.fin-fkv.fin.fkv | 1.8 | 0.254 |
| Tatoeba-test.fin-hun.fin.hun | 45.0 | 0.672 |
| Tatoeba-test.fin-izh.fin.izh | 7.1 | 0.492 |
| Tatoeba-test.fin-krl.fin.krl | 2.6 | 0.278 |
| Tatoeba-test.fkv-est.fkv.est | 0.6 | 0.099 |
| Tatoeba-test.fkv-fin.fkv.fin | 15.5 | 0.444 |
| Tatoeba-test.fkv-liv.fkv.liv | 0.6 | 0.101 |
| Tatoeba-test.fkv-vep.fkv.vep | 0.6 | 0.113 |
| Tatoeba-test.hun-fin.hun.fin | 46.3 | 0.675 |
| Tatoeba-test.izh-fin.izh.fin | 13.4 | 0.431 |
| Tatoeba-test.izh-krl.izh.krl | 2.9 | 0.078 |
| Tatoeba-test.krl-fin.krl.fin | 14.1 | 0.439 |
| Tatoeba-test.krl-izh.krl.izh | 1.0 | 0.125 |
| Tatoeba-test.liv-fkv.liv.fkv | 0.9 | 0.170 |
| Tatoeba-test.liv-vep.liv.vep | 2.6 | 0.176 |
| Tatoeba-test.multi.multi | 32.9 | 0.580 |
| Tatoeba-test.vep-est.vep.est | 3.4 | 0.265 |
| Tatoeba-test.vep-fkv.vep.fkv | 0.9 | 0.239 |
| Tatoeba-test.vep-liv.vep.liv | 2.6 | 0.190 |
### System Info:
- hf_name: urj-urj
- source_languages: urj
- target_languages: urj
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/urj-urj/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['se', 'fi', 'hu', 'et', 'urj']
- src_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- tgt_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- src_multilingual: True
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/urj-urj/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/urj-urj/opus-2020-07-27.test.txt
- src_alpha3: urj
- tgt_alpha3: urj
- short_pair: urj-urj
- chrF2_score: 0.58
- bleu: 32.9
- brevity_penalty: 1.0
- ref_len: 19444.0
- src_name: Uralic languages
- tgt_name: Uralic languages
- train_date: 2020-07-27
- src_alpha2: urj
- tgt_alpha2: urj
- prefer_old: False
- long_pair: urj-urj
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-ve-en | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"ve",
"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 | 47 | transformers | ---
tags:
- translation
---
### opus-mt-ve-en
* source languages: ve
* target languages: en
* OPUS readme: [ve-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ve-en/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/ve-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ve-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ve-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ve.en | 41.3 | 0.566 |
|
Helsinki-NLP/opus-mt-ve-es | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"ve",
"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 | 36 | transformers | ---
tags:
- translation
---
### opus-mt-ve-es
* source languages: ve
* target languages: es
* OPUS readme: [ve-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ve-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/ve-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ve-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ve-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ve.es | 23.1 | 0.413 |
|
Helsinki-NLP/opus-mt-vi-de | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"vi",
"de",
"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:
- vi
- de
tags:
- translation
license: apache-2.0
---
### vie-deu
* source group: Vietnamese
* target group: German
* OPUS readme: [vie-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-deu/README.md)
* model: transformer-align
* source language(s): vie
* target language(s): deu
* 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/vie-deu/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-deu/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-deu/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.vie.deu | 27.6 | 0.484 |
### System Info:
- hf_name: vie-deu
- source_languages: vie
- target_languages: deu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-deu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['vi', 'de']
- src_constituents: {'vie', 'vie_Hani'}
- tgt_constituents: {'deu'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-deu/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-deu/opus-2020-06-17.test.txt
- src_alpha3: vie
- tgt_alpha3: deu
- short_pair: vi-de
- chrF2_score: 0.484
- bleu: 27.6
- brevity_penalty: 0.958
- ref_len: 3365.0
- src_name: Vietnamese
- tgt_name: German
- train_date: 2020-06-17
- src_alpha2: vi
- tgt_alpha2: de
- prefer_old: False
- long_pair: vie-deu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-vi-en | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"vi",
"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 | 3,677 | transformers | ---
language:
- vi
- en
tags:
- translation
license: apache-2.0
---
### vie-eng
* source group: Vietnamese
* target group: English
* OPUS readme: [vie-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-eng/README.md)
* model: transformer-align
* source language(s): vie vie_Hani
* target language(s): eng
* 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/vie-eng/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-eng/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-eng/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.vie.eng | 42.8 | 0.608 |
### System Info:
- hf_name: vie-eng
- source_languages: vie
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['vi', 'en']
- src_constituents: {'vie', 'vie_Hani'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-eng/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-eng/opus-2020-06-17.test.txt
- src_alpha3: vie
- tgt_alpha3: eng
- short_pair: vi-en
- chrF2_score: 0.608
- bleu: 42.8
- brevity_penalty: 0.955
- ref_len: 20241.0
- src_name: Vietnamese
- tgt_name: English
- train_date: 2020-06-17
- src_alpha2: vi
- tgt_alpha2: en
- prefer_old: False
- long_pair: vie-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-vi-eo | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"vi",
"eo",
"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 | 32 | transformers | ---
language:
- vi
- eo
tags:
- translation
license: apache-2.0
---
### vie-epo
* source group: Vietnamese
* target group: Esperanto
* OPUS readme: [vie-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-epo/README.md)
* model: transformer-align
* source language(s): vie
* target language(s): epo
* 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/vie-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.vie.epo | 12.2 | 0.332 |
### System Info:
- hf_name: vie-epo
- source_languages: vie
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['vi', 'eo']
- src_constituents: {'vie', 'vie_Hani'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-epo/opus-2020-06-16.test.txt
- src_alpha3: vie
- tgt_alpha3: epo
- short_pair: vi-eo
- chrF2_score: 0.332
- bleu: 12.2
- brevity_penalty: 0.99
- ref_len: 13637.0
- src_name: Vietnamese
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: vi
- tgt_alpha2: eo
- prefer_old: False
- long_pair: vie-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-vi-es | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"vi",
"es",
"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:
- vi
- es
tags:
- translation
license: apache-2.0
---
### vie-spa
* source group: Vietnamese
* target group: Spanish
* OPUS readme: [vie-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-spa/README.md)
* model: transformer-align
* source language(s): vie
* target language(s): spa
* 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/vie-spa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-spa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-spa/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.vie.spa | 32.9 | 0.540 |
### System Info:
- hf_name: vie-spa
- source_languages: vie
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['vi', 'es']
- src_constituents: {'vie', 'vie_Hani'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-spa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-spa/opus-2020-06-17.test.txt
- src_alpha3: vie
- tgt_alpha3: spa
- short_pair: vi-es
- chrF2_score: 0.54
- bleu: 32.9
- brevity_penalty: 0.953
- ref_len: 3832.0
- src_name: Vietnamese
- tgt_name: Spanish
- train_date: 2020-06-17
- src_alpha2: vi
- tgt_alpha2: es
- prefer_old: False
- long_pair: vie-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-vi-fr | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"vi",
"fr",
"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 | 20 | transformers | ---
language:
- vi
- fr
tags:
- translation
license: apache-2.0
---
### vie-fra
* source group: Vietnamese
* target group: French
* OPUS readme: [vie-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-fra/README.md)
* model: transformer-align
* source language(s): vie
* target language(s): fra
* 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/vie-fra/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-fra/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-fra/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.vie.fra | 34.2 | 0.544 |
### System Info:
- hf_name: vie-fra
- source_languages: vie
- target_languages: fra
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-fra/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['vi', 'fr']
- src_constituents: {'vie', 'vie_Hani'}
- tgt_constituents: {'fra'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-fra/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-fra/opus-2020-06-17.test.txt
- src_alpha3: vie
- tgt_alpha3: fra
- short_pair: vi-fr
- chrF2_score: 0.544
- bleu: 34.2
- brevity_penalty: 0.955
- ref_len: 11519.0
- src_name: Vietnamese
- tgt_name: French
- train_date: 2020-06-17
- src_alpha2: vi
- tgt_alpha2: fr
- prefer_old: False
- long_pair: vie-fra
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-vi-it | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"vi",
"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 | 26 | transformers | ---
language:
- vi
- it
tags:
- translation
license: apache-2.0
---
### vie-ita
* source group: Vietnamese
* target group: Italian
* OPUS readme: [vie-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-ita/README.md)
* model: transformer-align
* source language(s): vie
* target language(s): ita
* 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/vie-ita/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-ita/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-ita/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.vie.ita | 31.2 | 0.548 |
### System Info:
- hf_name: vie-ita
- source_languages: vie
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['vi', 'it']
- src_constituents: {'vie', 'vie_Hani'}
- tgt_constituents: {'ita'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-ita/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-ita/opus-2020-06-17.test.txt
- src_alpha3: vie
- tgt_alpha3: ita
- short_pair: vi-it
- chrF2_score: 0.5479999999999999
- bleu: 31.2
- brevity_penalty: 0.932
- ref_len: 1774.0
- src_name: Vietnamese
- tgt_name: Italian
- train_date: 2020-06-17
- src_alpha2: vi
- tgt_alpha2: it
- prefer_old: False
- long_pair: vie-ita
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-vi-ru | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"vi",
"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 | 26 | transformers | ---
language:
- vi
- ru
tags:
- translation
license: apache-2.0
---
### vie-rus
* source group: Vietnamese
* target group: Russian
* OPUS readme: [vie-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-rus/README.md)
* model: transformer-align
* source language(s): vie
* target language(s): rus
* 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/vie-rus/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-rus/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-rus/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.vie.rus | 16.9 | 0.331 |
### System Info:
- hf_name: vie-rus
- source_languages: vie
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['vi', 'ru']
- src_constituents: {'vie', 'vie_Hani'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-rus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-rus/opus-2020-06-17.test.txt
- src_alpha3: vie
- tgt_alpha3: rus
- short_pair: vi-ru
- chrF2_score: 0.331
- bleu: 16.9
- brevity_penalty: 0.878
- ref_len: 2207.0
- src_name: Vietnamese
- tgt_name: Russian
- train_date: 2020-06-17
- src_alpha2: vi
- tgt_alpha2: ru
- prefer_old: False
- long_pair: vie-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-vsl-es | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"vsl",
"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 | 35 | transformers | ---
tags:
- translation
---
### opus-mt-vsl-es
* source languages: vsl
* target languages: es
* OPUS readme: [vsl-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/vsl-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/vsl-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/vsl-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/vsl-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.vsl.es | 91.9 | 0.944 |
|
Helsinki-NLP/opus-mt-wa-en | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"wa",
"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 | 42 | transformers | ---
tags:
- translation
---
### opus-mt-wa-en
* source languages: wa
* target languages: en
* OPUS readme: [wa-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/wa-en/README.md)
* dataset: opus-enwa
* model: transformer
* pre-processing: normalization + SentencePiece
* download original weights: [opus-enwa-2020-03-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/wa-en/opus-enwa-2020-03-21.zip)
* test set translations: [opus-enwa-2020-03-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/wa-en/opus-enwa-2020-03-21.test.txt)
* test set scores: [opus-enwa-2020-03-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/wa-en/opus-enwa-2020-03-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| enwa.fr.en | 42.6 | 0.564 |
|
Helsinki-NLP/opus-mt-wal-en | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"wal",
"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 | 29 | transformers | ---
tags:
- translation
---
### opus-mt-wal-en
* source languages: wal
* target languages: en
* OPUS readme: [wal-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/wal-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/wal-en/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/wal-en/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/wal-en/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.wal.en | 22.5 | 0.386 |
|
Helsinki-NLP/opus-mt-war-en | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"war",
"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 | 78 | transformers | ---
language:
- war
- en
tags:
- translation
license: apache-2.0
---
### war-eng
* source group: Waray (Philippines)
* target group: English
* OPUS readme: [war-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/war-eng/README.md)
* model: transformer-align
* source language(s): war
* target language(s): eng
* 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/war-eng/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/war-eng/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/war-eng/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.war.eng | 12.3 | 0.308 |
### System Info:
- hf_name: war-eng
- source_languages: war
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/war-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['war', 'en']
- src_constituents: {'war'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/war-eng/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/war-eng/opus-2020-06-16.test.txt
- src_alpha3: war
- tgt_alpha3: eng
- short_pair: war-en
- chrF2_score: 0.308
- bleu: 12.3
- brevity_penalty: 1.0
- ref_len: 11345.0
- src_name: Waray (Philippines)
- tgt_name: English
- train_date: 2020-06-16
- src_alpha2: war
- tgt_alpha2: en
- prefer_old: False
- long_pair: war-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 |
Helsinki-NLP/opus-mt-war-es | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"war",
"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 | 31 | transformers | ---
tags:
- translation
---
### opus-mt-war-es
* source languages: war
* target languages: es
* OPUS readme: [war-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/war-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/war-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/war-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/war-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.war.es | 28.7 | 0.470 |
|
Helsinki-NLP/opus-mt-war-fi | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"war",
"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 | 45 | transformers | ---
tags:
- translation
---
### opus-mt-war-fi
* source languages: war
* target languages: fi
* OPUS readme: [war-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/war-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/war-fi/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/war-fi/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/war-fi/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.war.fi | 26.9 | 0.507 |
|
Helsinki-NLP/opus-mt-war-fr | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"war",
"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 | 38 | transformers | ---
tags:
- translation
---
### opus-mt-war-fr
* source languages: war
* target languages: fr
* OPUS readme: [war-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/war-fr/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/war-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/war-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/war-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.war.fr | 30.2 | 0.482 |
|
Helsinki-NLP/opus-mt-war-sv | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"war",
"sv",
"transformers",
"translation",
"text2text-generation"
]
| translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
]
| Helsinki-NLP | 42 | transformers | ---
tags:
- translation
---
### opus-mt-war-sv
* source languages: war
* target languages: sv
* OPUS readme: [war-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/war-sv/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/war-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/war-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/war-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.war.sv | 31.4 | 0.505 |
|
Helsinki-NLP/opus-mt-wls-en | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"wls",
"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 | 49 | transformers | ---
tags:
- translation
---
### opus-mt-wls-en
* source languages: wls
* target languages: en
* OPUS readme: [wls-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/wls-en/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/wls-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/wls-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/wls-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.wls.en | 31.8 | 0.471 |
|
Helsinki-NLP/opus-mt-wls-fr | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"wls",
"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 | 38 | transformers | ---
tags:
- translation
---
### opus-mt-wls-fr
* source languages: wls
* target languages: fr
* OPUS readme: [wls-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/wls-fr/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/wls-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/wls-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/wls-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.wls.fr | 22.6 | 0.389 |
|
Helsinki-NLP/opus-mt-wls-sv | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"wls",
"sv",
"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-wls-sv
* source languages: wls
* target languages: sv
* OPUS readme: [wls-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/wls-sv/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/wls-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/wls-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/wls-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.wls.sv | 23.8 | 0.408 |
|
Helsinki-NLP/opus-mt-xh-en | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"xh",
"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 | 46 | transformers | ---
tags:
- translation
---
### opus-mt-xh-en
* source languages: xh
* target languages: en
* OPUS readme: [xh-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/xh-en/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/xh-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/xh-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/xh-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.xh.en | 45.8 | 0.610 |
|
Helsinki-NLP/opus-mt-xh-es | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"xh",
"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 | 53 | transformers | ---
tags:
- translation
---
### opus-mt-xh-es
* source languages: xh
* target languages: es
* OPUS readme: [xh-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/xh-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/xh-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/xh-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/xh-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.xh.es | 32.3 | 0.505 |
|
Helsinki-NLP/opus-mt-xh-fr | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"xh",
"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 | 41 | transformers | ---
tags:
- translation
---
### opus-mt-xh-fr
* source languages: xh
* target languages: fr
* OPUS readme: [xh-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/xh-fr/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/xh-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/xh-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/xh-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.xh.fr | 30.6 | 0.487 |
|
Helsinki-NLP/opus-mt-xh-sv | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"xh",
"sv",
"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-xh-sv
* source languages: xh
* target languages: sv
* OPUS readme: [xh-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/xh-sv/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/xh-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/xh-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/xh-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.xh.sv | 33.1 | 0.522 |
|
Helsinki-NLP/opus-mt-yap-en | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"yap",
"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 | 40 | transformers | ---
tags:
- translation
---
### opus-mt-yap-en
* source languages: yap
* target languages: en
* OPUS readme: [yap-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/yap-en/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/yap-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/yap-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/yap-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.yap.en | 30.2 | 0.452 |
|
Helsinki-NLP/opus-mt-yap-fr | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"yap",
"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 | 40 | transformers | ---
tags:
- translation
---
### opus-mt-yap-fr
* source languages: yap
* target languages: fr
* OPUS readme: [yap-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/yap-fr/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/yap-fr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/yap-fr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/yap-fr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.yap.fr | 22.2 | 0.381 |
|
Helsinki-NLP/opus-mt-yap-sv | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"yap",
"sv",
"transformers",
"translation",
"text2text-generation"
]
| translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"source.spm",
"target.spm",
"tokenizer_config.json",
"vocab.json"
]
| Helsinki-NLP | 37 | transformers | ---
tags:
- translation
---
### opus-mt-yap-sv
* source languages: yap
* target languages: sv
* OPUS readme: [yap-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/yap-sv/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/yap-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/yap-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/yap-sv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.yap.sv | 22.6 | 0.399 |
|
Helsinki-NLP/opus-mt-yo-en | 2020-08-21T14:42:52.000Z | [
"pytorch",
"marian",
"seq2seq",
"yo",
"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 | 292 | transformers | ---
tags:
- translation
---
### opus-mt-yo-en
* source languages: yo
* target languages: en
* OPUS readme: [yo-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/yo-en/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/yo-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/yo-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/yo-en/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.yo.en | 33.8 | 0.496 |
|
Helsinki-NLP/opus-mt-yo-es | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"yo",
"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 | 43 | transformers | ---
tags:
- translation
---
### opus-mt-yo-es
* source languages: yo
* target languages: es
* OPUS readme: [yo-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/yo-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/yo-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/yo-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/yo-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.yo.es | 22.0 | 0.393 |
|
Helsinki-NLP/opus-mt-yo-fi | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"seq2seq",
"yo",
"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 | 41 | transformers | ---
tags:
- translation
---
### opus-mt-yo-fi
* source languages: yo
* target languages: fi
* OPUS readme: [yo-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/yo-fi/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/yo-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/yo-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/yo-fi/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.yo.fi | 21.5 | 0.434 |
|
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