We are happy to announce the 15th edition of the NLP4CALL workshop on Natural Language Processing for Computer-Assisted Language Learning. This year, NLP4CALL will be a two-day hybrid event that will take place on November 19-20, 2026. Onsite participation will be possible at the Humanisten building of the University of Gothenburg (Renströmsgatan 6, Göteborg, Sweden) and a link for remote participation will be shared closer to the workshop dates. Both onsite and online participation are free of charge.
The workshop series on Natural Language Processing (NLP) for Computer-Assisted Language Learning (NLP4CALL) is a meeting place for researchers working on integrating Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising from 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.
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 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 SLA 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 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:
This year, the workshop has a special focus on process-oriented approaches to educational NLP, including but not limited to work related to the collection and analysis of keystroke data from langauge learners.
Submissions should describe original unpublished complete or in-progress work and will be peer-reviewed by at least two members of the program committee in a double-blind fashion.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 published both in the NEALT Proceeding Series and through the ACL anthology.
We accept short, long and demo papers, all of which have to adhere to the following page limits:
Also note that:
Papers should be submitted as PDFs through EasyChair. LaTeX and Word templates are available here.
All deadlines are AoE.
Bio: Andrea Horbach has been professor for Educational NLP at Kiel University and the Leibniz Institute for Science and Mathematics Education (IPN) since 2024. Her research interests include free-text scoring, argument mining, automated feedback, and the use of process data for assessment. She is particularly interested in developing explainable and fair methods that support human agency in writing and assessment processes.
Bio: Rianne Conijn is an assistant professor in learning analytics in the Human-Technology Interaction group at Eindhoven University of Technology, the Netherlands. Her research focuses on developing methods to capture and model learning behavior (e.g., self-regulated learning) and writing behavior (e.g., revision processes), using fine-grained behavioral data, such as keystroke and clickstream data. In addition, she uses these methods to examine how educational technologies, such as generative AI, affect the learning process. Rianne recently received a NWO Veni grant on “Human-Centered AI in education” where she aims to improve human-AI collaboration in writing in higher education.
For more information about the workshop, you are welcome to reach out to nlp4call2026@easychair.org.
This workshop is jointly supported by:
14th Workshop on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL 2025)
We would like to invite you to submit papers to the next edition of NLP4CALL workshop to be co-located with NoDaLiDa/Baltic-HLT in Tallinn, Estonia on March 5th, 2025.
Workshop website: https://spraakbanken.gu.se/en/research/themes/icall/nlp4call-workshop-series/nlp4call2025
The workshop series on Natural Language Processing (NLP) for Computer-Assisted Language Learning (NLP4CALL) is a meeting place for researchers working on integrating 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.
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 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 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:
In this edition of the workshop a special focus is given to
We particularly encourage software demonstrations showcasing the potential use of existing Language and Speech Technologies or resources in ICALL applications for Nordic and Finno-Ugric languages.
We accept both short and long papers, as well as demo papers. The submissions must describe original and unpublished work.
Paper length:
The submission link will be made available in late October.
This year we have the pleasure to announce two invited speakers:
This workshop is supported jointly by:
For questions and comments, please email ricardo.munoz.sanchez@svenska.gu.se
We are happy to announce that the 2024 edition of NLP4CALL will be held in France at Université Rennes 2. As a result of the growing interest in the domain, the workshop series will be held over two days, 25 & 26 October 2024. Paper presentations, poster and demo sessions will alternate to offer a comprehensive overview of the latest developments in the field.
https://nlp4call2024.sciencesconf.org/
Call for Papers
The workshop series on Natural Language Processing 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 the 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 competencies from these areas for sharing experiences and brainstorming around the future of the field.
We welcome papers:
This year, a special focus is given to systems relying on AI trained for ICALL tasks. This includes, but not only, fine tuning Large Language Models (LLMs) and supervised-learning methods based on learning analytics. Issues related to data in SLA and learner corpus such as collection and feature extraction are also welcome.
Submission information
Authors are invited to submit long papers (8-12 pages) alternatively short or demo papers (4-7 pages), page count not including references. We will be using the NLP4CALL templates downloadable from the website.
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.
Important dates
January 2024 - First call for papers
March - Second call for papers
May - Final call for papers
30 June - Paper submission deadline (long, short and demo)
1 September - Notification of acceptance
30 September - Camera-ready papers for publication
25-26 October 2024 - Workshop dates
Organizers
Université Rennes 2, France
Thomas Gaillat, Cyriel Mallart, Fabienne Moreau, Jen-Yu Li, Linguistique Ingénierie et Didactique des Langues (LIDILE)
University of Gothenburg, Sweden
David Alfter, Gothenburg Research Infrastructure in Digital Humanities (GRIDH)
Elena Volodina, Språkbanken Text
Linköping University, Sweden
Arne Jönsson