November 19-20, 2026. Gothenburg, Sweden and online
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https://spraakbanken.gu.se/forskning/teman/icall/nlp4call-workshop-series/nlp4call2026

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.

Workshop description
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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:

- that describe research directly aimed at ICALL;
- that describe the ongoing development of resources and tools with
potential use 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, 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.

Submission information
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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:

- short and demo papers: between 4 and 7 pages
- long papers: between 8 and 12 pages.

Also note that:

- references and appendices do not count towards these page limits
- the main body of the paper has to be self-contained, as reviewers are
not required to read any appendices
- camera-ready versions of accepted papers will be allowed an additional
page to address reviewer comments.

Papers should be submitted as PDFs through EasyChair (https://easychair.org/conferences/?conf=nlp4call2026).
LaTeX and Word templates are available at https://github.com/NLP4CALL/current/blob/website/_includes/other_info/submission_information.md#templates.

Important dates
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- paper submission deadline: September 24, 2026
- notification of acceptance: October 15, 2026
- camera-ready deadline: October 29, 2026
- workshop: November 19-20, 2026

All deadlines are AoE.

Invited speakers
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Andrea Horbach

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.

Dr. Rianne Conijn

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.

Organizers
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- Arianna Masciolini, Språkbanken Text, University of Gothenburg, Sweden
- David Alfter, Gothenburg Research Infrastructure in Digital Humanities
(GRIDH), University of Gothenburg, Sweden
- Herbert Lange, Språkbanken Text, University of Gothenburg, Sweden
- Ricardo Muñoz Sánchez, Språkbanken Text, University of Gothenburg,
Sweden
- Ildikó Pilán, Norwegian Computing Center, Norway
- Elena Volodina, Språkbanken Text, University of Gothenburg, Sweden

Funding
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This workshop is jointly supported by:

- Språkbanken – jointly funded by its 10 partner institutions and the
Swedish Research Council (2025–2028; project id 2023-00161);
- Huminfra;
- the Department of Swedish, Multilingualism, Language Technology;
- the IncluEdS project.