37.2337, Calls: 15th Workshop on Natural Language Processing for Computer-Assisted Language Learning (Sweden)

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LINGUIST List: Vol-37-2337. Tue Jul 14 2026. ISSN: 1069 - 4875.

Subject: 37.2337, Calls: 15th Workshop on Natural Language Processing for Computer-Assisted Language Learning (Sweden)

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Date: 13-Jul-2026
From: Arianna Masciolini [arianna.masciolini at gu.se]
Subject: 15th Workshop on Natural Language Processing for Computer-Assisted Language Learning


Full Title: 15th Workshop on Natural Language Processing for
Computer-Assisted Language Learning
Short Title: NLP4CALL 2026

Date: 19-Nov-2026 - 20-Nov-2026
Location: Gothenburg, Sweden
Contact Person: Arianna Masciolini
Meeting Email: arianna.masciolini at gu.se
Web Site:
https://spraakbanken.gu.se/forskning/teman/icall/nlp4call-workshop-series/nlp4call2026

Linguistic Field(s): Computational Linguistics; Language Acquisition

Call Deadline: 24-Sep-2026

Call for Papers:
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:
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:
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:
- 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:
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:
- 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
Contact:
For more information about the workshop, you are welcome to reach out
to nlp4call2026 at easychair.org.
Funding:
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.



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