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| "text": "The workshop series on Natural Language Processing (NLP) for Computer-Assisted Language Learning (NLP4CALL) is a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, the integration of insights from Second Language Acquisition (SLA) research, and the promotion of \"Computational SLA\" through setting up Second Language research infrastructures.", | |
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| "section": "Proceedings of the 9th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2020) Preface", | |
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| "text": "The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings \"understanding\" of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research -Intelligent CALL, or for short, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop therefore invites a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data and modelled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competences from these areas for sharing experiences and brainstorming around the future of the field.", | |
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| "section": "Proceedings of the 9th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2020) Preface", | |
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| "text": "-that describe research directly aimed at ICALL -that demonstrate actual or discuss the potential use of existing Language and Speech Technologies or resources for language learning -that describe the ongoing development of resources and tools with potential usage in ICALL, either directly in interactive applications, or indirectly in materials, application, or curriculum development, e.g. learning material generation, assessment of learner texts and responses, individualized learning solutions, provision of feedback -that discuss challenges and/or research agenda for ICALL -that describe empirical studies on language learner data This year a special focus was given to work done on second language vocabulary and grammar profiling, as well as the use of crowdsourcing for creating, collecting, and curating data in NLP projects. We encouraged paper presentations and software demonstrations describing the above-mentioned themes primarily, but not exclusively, for the Nordic languages.", | |
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| "section": "We invited submissions:", | |
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| "text": "A new feature in this year's workshop is the special research notes session. This session included short talks about ongoing unfinished research that collaborating teams were eager to discuss with the community and get feedback. We tested this feature for the first time with an intention to evaluate its impact and utility for future uses. This time around, we did not circulate a separate call for papers/abstracts but selected for inclusion in the session the papers that were rejected but had at least one positive review. Additionally, we invited two moderators, Torsten Zesch and Johannes Gra\u00ebn, each of whom was also given the possibility to present ongoing research. This year, we had the pleasure to welcome two invited speakers: Mark Brenchley (Cambridge Assessment English) and Magali Paquot (Universit\u00e9 catholique de Louvain). In his talk, What is an NLP NLP? Considerations from an L2 Assessment Perspective, he offered a more philosophical perspective on the role of NLP in second language assessment, focusing on the question of what it might actually mean for something to be an \"NLP NLP\"; that is, a natural language processed, natural language profile. In general, he explored the relationship between NLP and L2 profiles with regard to the wider notion of validity as a key assessment concept.", | |
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| "section": "We invited submissions:", | |
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| "text": "Dr Magali Paquot is an FNRS research associate at the Centre for English Corpus Linguistics, UCLouvain. She specializes in the use of learner corpora to study key topics in SLA and is particularly interested in methodological issues. She is co-editor in chief of the International Journal of Learner Corpus Research and one of the founding members of the Learner Corpus Research Association.", | |
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| "section": "We invited submissions:", | |
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| "text": "In her talk, Crowdsourcing as a means to democratize access to L2 enriched data: the case of L2 proficiency, she reported on the first results of the Crowdsourcing Language Assessment Project (CLAP), which aims to investigate whether crowdsourcing can offer practical solutions to the time and cost difficulties often associated with foreign language proficiency assessment. More specifically, CLAP explores whether and how a crowd of people can be used to assess learner texts reliably and validly.", | |
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| "section": "We invited submissions:", | |
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| "text": "This workshop follows a series of workshops on NLP4CALL organized by the NEALT Special Interest Group on Intelligent Computer-Assisted Language Learning (SIG-ICALL 1 ). The workshop series has previously been financed by the Center for Language Technology at the University of Gothenburg, the SweLL project 2 , and the Swedish Research Council's conference grant. Currently the funding comes from Spr\u00e5kbanken Text 3 and the L2 profiling project 4 .", | |
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| "section": "Previous workshops", | |
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| "text": "Submissions to the nine workshop editions have targeted a wide range of languages, ranging from wellresourced languages (Chinese, German, English, French, Portuguese, Russian, Spanish) to lesserresourced languages (Erzya, Arabic, Estonian, Irish, Komi-Zyrian, Meadow Mari, Saami, Udmurt, V\u00f5ro). Among these, several Nordic languages have been targeted, namely Danish, Estonian, Finnish, Icelandic, Norwegian, Saami, Swedish and V\u00f5ro. The wide scope of the workshop is also evident in the affiliations of the participating authors as illustrated in NLP4CALL speakers' and co-authors' affiliations, 2012-2020 The acceptance rate has varied between 50% and 77%, the average being 65% (see Table 2 ).", | |
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| "text": "NLP4CALL speakers' and", | |
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| "text": "co-authors' affiliations, 2012-2020", | |
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| "text": "Table 2", | |
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| "section": "Previous workshops", | |
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| "text": "Although the acceptance rate is rather high, the reviewing process has always been very rigorous with two to three double-blind reviews per submission. This indicates that submissions to the workshop have usually been of high quality. ", | |
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| "section": "Previous workshops", | |
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| "text": "https://spraakbanken.gu.se/en/research/themes/icall/sig-icall 2 https://spraakbanken.gu.se/en/projects/swell 3 https://spraakbanken.gu.se 4 https://spraakbanken.gu.se/en/projects/l2profilesProceedings of the 9th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2020)", | |
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| "text": "Proceedings of the 9th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2020)", | |
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| "text": "We gratefully acknowledge the financial support from Spr\u00e5kbanken Text and the L2 profiles for Swedish project.", | |
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| "section": "Acknowledgements", | |
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| "text": "We intend to continue this workshop series, which so far has been the only ICALL-relevant recurring event based in the Nordic countries. Our intention is to co-locate the workshop series with the two major LT events in Scandinavia, SLTC (the Swedish Language Technology Conference) and NoDaLiDa (Nordic Conference on Computational Linguistics), thus making this workshop an annual event. Through this workshop, we intend to profile ICALL research in Nordic countries as well as beyond, and we aim at providing a dissemination venue for researchers active in this area.", | |
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| "section": "annex", | |
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| "text": "https://spraakbanken.gu.se/en/research/themes/icall/nlp4call-workshop-series/nlp4call2020 ", | |
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| "section": "Workshop website:", | |
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| "text": "Mark Brenchley is Senior Research Manager at Cambridge Assessment English. Mark manages research supporting the development and validation of Cambridge English products in the areas of speaking and writing, as well as vocabulary and grammar more broadly. He specialises in the application of corpus-based methodologies and is responsible for maintaining and developing the David Alfter, Elena Volodina, Ildik\u00f3 Pil\u00e1n, Herbert Lange and Lars Borin 2020. Preface. Proceedings of the 9th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2020). Link\u00f6ping Electronic Conference Proceedings 175: i-iv.", | |
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| "text": "company's internal corpus architecture, including the Cambridge Learner Corpus. His current work, in particular, focuses on the development and validation of auto-marking technologies.", | |
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| "content": "<table><tr><td>Country</td><td>2012-2020 (# speaker/co-author affiliations)</td></tr><tr><td>Algeria</td><td>1</td></tr><tr><td>Australia</td><td>2</td></tr><tr><td>Belgium</td><td>5</td></tr><tr><td>Canada</td><td>4</td></tr><tr><td>Denmark</td><td>3</td></tr><tr><td>Egypt</td><td>1</td></tr><tr><td>Estonia</td><td>3</td></tr><tr><td>Finland</td><td>9</td></tr><tr><td>France</td><td>9</td></tr></table>", | |
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| "content": "<table><tr><td/><td>Submitted</td><td>Accepted</td><td>Acceptance rate</td></tr><tr><td>2012</td><td>12</td><td>8</td><td>67%</td></tr><tr><td>2013</td><td>8</td><td>4</td><td>50%</td></tr><tr><td>2014</td><td>13</td><td>10</td><td>77%</td></tr><tr><td>2015</td><td>9</td><td>6</td><td>67%</td></tr><tr><td>2016</td><td>14</td><td>10</td><td>72%</td></tr><tr><td>2017</td><td>13</td><td>7</td><td>54%</td></tr><tr><td>2018</td><td>16</td><td>11</td><td>69%</td></tr><tr><td>2019</td><td>16</td><td>10</td><td>63%</td></tr><tr><td>2020</td><td>7</td><td>4</td><td>57%</td></tr><tr><td colspan=\"3\">Table 2: Submissions and acceptance rates, 2012-2020</td><td/></tr><tr><td colspan=\"4\">We would like to thank our Program Committee for providing detailed feedback for the reviewed</td></tr><tr><td>papers:</td><td/><td/><td/></tr></table>", | |
| "text": "Lars Ahrenberg, Link\u00f6ping University, Sweden \u2022 David Alfter, University of Gothenburg, Sweden \u2022 Claudia Borg, University of Malta, Malta \u2022 Ant\u00f3nio Branco, Universidade de Lisboa, Portugal \u2022 Mark Brenchley, Cambridge Assessment English, UK \u2022 Jill Burstein, Educational Testing Service, US \u2022 Andrew Caines, University of Cambridge, UK \u2022 Xiaobin Chen, Universit\u00e4t T\u00fcbingen, Germany \u2022 Kordula de Kuthy, Universit\u00e4t T\u00fcbingen, Germany \u2022 Simon Dobnik, University of Gothenburg, Sweden \u2022 Thomas Fran\u00e7ois, Universit\u00e9 catholique de Louvain, Belgium \u2022 Johannes Gra\u00ebn, University of Gothenburg, Sweden and Universitat Pompeu Fabra, Spain \u2022 Andrea Horbach, University of Duisburg-Essen, Germany \u2022 Herbert Lange, University of Gothenburg, Sweden and Chalmers Institute of Technology, Sweden", | |
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