37.1844, Calls: Language Learning and Understanding for AI Scientists and Linguists (Taiwan)

[The LINGUIST List]

LINGUIST List: Vol-37-1844. Wed May 20 2026. ISSN: 1069 - 4875.

Subject: 37.1844, Calls: Language Learning and Understanding for AI Scientists and Linguists (Taiwan)

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Date: 20-May-2026
From: Tiffany Liu [ai.linguistics.workshop at gmail.com]
Subject: Language Learning and Understanding for AI Scientists and Linguists


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

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

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

Call Deadline: 30-Jun-2026

Call for Papers:
As recent advances in AI and large language models continue to reshape
language research, LLU 2026 aims to foster dialogue between AI
scientists and linguists on research and applications related to
language learning, representation, and understanding. Jointly
organized by the Institute of Linguistics, Academia Sinica (ILAS) and
the National Institute for Japanese Language and Linguistics (NINJAL),
LLU 2026 welcomes submissions presenting ideas, approaches, and
findings from linguistic, cognitive, and AI perspectives on topics
including, but not limited to, the following:
 - Language understanding in humans and large language models
 - Human language acquisition and AI learning
 - Cognitive and neural foundations of language and AI
 - Computational models of linguistic representation
Submission:
Please submit your abstract to ai.linguistics.workshop at gmail.com by
June 30, using the abstract template provided on the conference
website.
Exhibition:
LLU 2026 will feature research from three national institutes
specializing in language and linguistics studies.
 - Leibniz-Institut für Deutsche Sprache (IDS, Germany)
 - Institute of Linguistics, Academia Sinica (ILAS, Taiwan)
 - National Institute for Japanese Language and Linguistics (NINJAL,
Japan)
Invited Speakers:
Berlin Chen (National Taiwan Normal University): Advances and
Challenges of Automatic Spoken Language Assessment and Feedback
Yasuhiro Kondo (Aoyama Gakuin University): Does AI See Like We Speak?
The Egocentric-Allocentric Axis in Vector Spaces
Yohei Oseki (University of Tokyo): Large Language Models in
Computational Psycholinguistics
Andreas Witt (Leibniz-Institut für Deutsche Sprache): Artificial
Intelligence for Language: Text- Structures-Humans
Contact:
Ms. Tiffany Liu
ai.linguistics.workshop at gmail.com



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