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, insights from Second Language Acquisition (SLA) research, on the one hand, and promote development of "Computational SLA" through setting up Second Language research infrastructure(s), on the other.
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, 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 invites therefore 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 are modeled 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.
We welcome papers:
- 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 is 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 encourage paper presentations and software demonstrations describing the above-mentioned themes primarily, but not exclusively, for the Nordic languages.
This year we have the pleasure to welcome two invited speakers:
1. Magali Paquot, UCLouvain
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.
Her most recent publications were published in the International Journal of Learner Corpus Research, Language Assessment Quarterly and Second Language Research. She also co-edited A Practical Handbook of Corpus Linguistics (with S. Th. Gries; Springer, in press) and the Routledge Handbook of Second Language Acquisition and Corpora (with N. Tracy-Ventura, submitted).
2. Mark Brenchley, Cambridge Assessment English
Dr 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 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.
Mark holds a PhD in Education from the University of Exeter, where he explored the development of spoken and written syntax within the English education system. Following his PhD, he co-developed the Growth in Grammar Corpus, a novel corpus of student writing that covers the primary and secondary phases of the English education system.
Authors are invited to submit long papers (8-12 pages) alternatively short papers (4-7 pages), page count not including references. We will be using the NAACL-HLT 2019 template for the workshop this year. The author kit, including LaTeX, Microsoft Word and Overleaf templates can be accessed here:
<https://naacl2019.org/downloads/naaclhlt2019-latex.zip> LaTeX <https://naacl2019.org/downloads/naaclhlt2019-word.zip> Microsoft Word <https://www.overleaf.com/latex/templates/instructions-for-naacl-hlt-2019-proceedings/xyyfwfkswhth> Overleaf
Submissions will be managed through the electronic conference management system EasyChair <https://easychair.org/conferences/?conf=nlp4call2020>. Papers must be submitted digitally through the conference management system, in PDF format. Final camera-ready versions of accepted papers will be given an additional page to address reviewer comments.
Papers should describe original unpublished work or work-in-progress. Papers will be peer reviewed by at least two members of the program committee in a double-blind fashion. All accepted papers will be collected into a proceedings volume to be submitted for publication in the NEALT Proceeding Series (Linköping Electronic Conference Proceedings) and, additionally, double-published through the ACL anthology, following experiences from the previous NLP4CALL editions (e.g. 8th NLP4CALL <https://www.aclweb.org/anthology/events/nodalida-2019/#w19-63>).
23 September: paper submission deadline
21 October: notification of acceptance
11 November: camera-ready papers for publication
25 November: workshop date
David Alfter (1), Elena Volodina (1), Ildikó Pilán (2), Herbert Lange (3), Lars Borin (1)
(1) Sprĺkbanken, University of Gothenburg, Sweden
(2) Language Technology Group, Department of Informatics, University of Oslo, Norway
(3) Department of Computer Science and Engineering, University of Gothenburg and Chalmers University of Technology, Sweden
For any questions, please contact David Alfter, david.alfter at gu.se
For further information, see the workshop website <https://spraakbanken.gu.se/en/research/themes/icall/nlp4call-workshop-series/nlp4call2020>
Follow us on Twitter @NLP4CALL <https://twitter.com/NLP4CALL/>
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