37.409, Confs: Language Learning and Understanding for AI Scientists and Linguists (Taiwan)

[The LINGUIST List]

LINGUIST List: Vol-37-409. Thu Jan 29 2026. ISSN: 1069 - 4875.

Subject: 37.409, Confs: Language Learning and Understanding for AI Scientists and Linguists (Taiwan)

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Date: 28-Jan-2026
From: Tiffany Liu [ai.linguistics.workshop at gmail.com]
Subject: Language Learning and Understanding for AI Scientists and Linguists


Language Learning and Understanding for AI Scientists and Linguists
Short Title: LLU2026

Date: 11-Nov-2026 - 12-Nov-2026
Location: Taipei, Taiwan
Meeting URL: https://www.ling.sinica.edu.tw/LLU2026/

Linguistic Field(s): Computational Linguistics; Language Acquisition;
Neurolinguistics

Submission Deadline: 30-May-2026

Technologies related to languages have never been this close to our
daily lives. This development is leading the way to novel perspectives
of language learning and understanding, shaped by contributions from
linguists and non-linguists. Innovative research and technology are
emerging alongside recent advances in model structures. While
AI-related methodologies are having noticeable impacts on human
language research, what crucial roles does linguistics play? As
linguists, we are witnessing profound transformations in our field due
to the methodological evolution brought about by large language models
and their applications. These developments present both challenges and
exciting opportunities to explore human language from both macro- and
micro-level perspectives. For example, the inductive nature of
learning in large language models potentially challenges assumptions
about the role and nature of representations in language acquisition
and processing. Motivated by the shared considerations of our
colleagues at the Institute of Linguistics (ILAS) and the National
Institute for Japanese Language and Linguistics (NINJAL), we decided
to host an international conference to collect and process ideas about
how the research and applications of language learning and
understanding will be viewed and conducted by AI scientists and
linguists. Through this conference, we aim to bring together AI
scientists and linguists to explore or at least to outline the
challenges and opportunities that lie ahead.
We invite submissions of abstracts with a maximum length of 2 pages in
PDF format for oral or poster presentations. Submissions may address,
but are not limited to, the following topics:
1. The concept of “understanding a language”: What does it mean to
learn and use a language? How to evaluate humans’ and LLMs'
performance in understanding a language?
2. Human language acquisition and AI learning: Comparing how children
and machines acquire/learn languages. Is human language development
the unique way to learn to use and understand language? How can AI
technology help human learn and understand languages?
3. Cognitive and neural foundations of language and AI: How do
language and intelligence emerge from neural mechanisms versus AI
models?
4. Computational models of linguistic representation: How do LLMs
represent meaning and sound structure? How do linguists and LLMs study
the gaps and connections between symbolic, distributional, and
conceptual representation?
Please submit your abstract to ai.linguistics.workshop at gmail.com by
May 30, using the abstract template provided on the conference
website.
Invited Speakers:
Berlin Chen (National Taiwan Normal University)
Yasuhiro Kondo (Aoyama Gakuin University)
Andreas Witt (Leibniz-Institut für Deutsche Sprache)
Yohei Oseki (University of Tokyo)
Demo/Exhibition:
Leibniz-Institut für Deutsche Sprache (IDS)
Institute of Linguistics, Academia Sinica (ILAS)
National Institute for Japanese Language and Linguistics (NINJAL)
Important Dates:
Abstract submission deadline: May 30, 2026
Notification of acceptance: July 31, 2026
Early registration: August 15, 2026
Final version due: August 31, 2026
Conference dates: November 11-12, 2026
Contact:
Ms. Tiffany Liu
ai.linguistics.workshop at gmail.com



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