37.2951, Calls: 32nd International Conference on Computational Linguistics (China)

Wed Sep 16 12:05:02 UTC 2026

LINGUIST List: Vol-37-2951. Wed Sep 16 2026. ISSN: 1069 - 4875.

Subject: 37.2951, Calls: 32nd International Conference on Computational Linguistics (China)

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Date: 15-Sep-2026
From: Joakim Nivre [joakim.nivre at lingfil.uu.se]
Subject: 32nd International Conference on Computational Linguistics

Full Title: 32nd International Conference on Computational Linguistics
Short Title: COLING 2027

Date: 09-May-2027 - 14-May-2027
Location: Macau, China
Contact Person: Minlie Huang, Joakim Nivre, Alexis Palmer, Sina
Zarrieß
Meeting Email: coling2027-pcchairs at googlegroups.com
Web Site: https://2027.coling-iccl.org/

Linguistic Field(s): Computational Linguistics

Call Deadline: 12-Oct-2026

Call for Papers:
Website: https://2027.coling-iccl.org/
The 32nd International Conference on Computational Linguistics (COLING
2027) will take place in Macau, China, May 9-14 2027. COLING 2027
invites the submission of long and short papers featuring substantial,
original, and unpublished research in all aspects of computational
linguistics and natural language processing.
Relevant topics include, but are not limited to, the following areas:
- Benchmarking and Evaluation
- Computational Cognitive Modeling and Psycholinguistics
- Computational Social Science and Sociolinguistics
- Cross-lingual and Multilingual NLP (including Machine Translation)
- Dialogue and Interactive Systems
- NLP for Digital Humanities and Cultural Analytics
- Discourse and Pragmatics
- Ethics, Bias, Fairness, Alignment and Security
- Human-AI Interaction and Social Impact of AI systems (including User
Studies)
- Information Extraction and Retrieval
- Interpretability and Analysis of NLP Models
- Knowledge-based NLP and Reasoning
- Language Acquisition, Learning and Evolution
- Language Diversity and NLP for Low-resourced/Less-studied Languages
- Language Modeling, including Novel Architectures
- Language Resources
- Linguistic Theories and Language Modeling for Linguistic Insights
- Machine Learning, including Resource-efficiency and Explainability
- Agent-based LLM systems
- Morphology and Syntax: Segmentation, Tagging, Chunking and Parsing
- Multimodality and Language Grounding to Vision, Robotics and Beyond
- Natural Language Generation, Summarization and Simplification
- NLP and LLM Applications
- Phonology and Speech: Recognition, Synthesis, Spoken Language
Modeling
- Semantics: Lexical and Sentence-Level
- Sentiment Analysis, Opinion and Argument Mining, Offensive Language
Detection
Special Theme: NLP for Linguistics
The scientific study of language, linguistics, is a broad field of
research that aims to understand the many facets of natural language,
across the millions of varieties spoken and used around the globe,
including its acquisition, evolution, and relation to social
structures and the human mind. A long-standing question in linguistic
research is how to model the ubiquitous variation and diversity found
within and across languages and language communities, as well as
underlying universals and linguistic typology.
Historically, computational linguistics and NLP have been closely
connected to the scientific study of language, with mutual influence
and exchange of ideas, but this connection has weakened over time as
NLP has become increasingly reliant on data-intensive methods and
focused on applications rather than linguistic insights. The
development of LLMs has further amplified this divergence, reinforcing
the emphasis on well-resourced languages, commercial use cases, and a
narrow set of modeling approaches (transformers), at the expense of
linguistic and social diversity and with less emphasis on scientific
goals. Recently, a growing body of work in computational linguistics
has attempted to narrow the gap between computational language
modeling and linguistics, although so far mainly by using data and
concepts from linguistics to analyze and evaluate LLMs, rather than to
understand language itself.
The COLING 2027 special theme, NLP for Linguistics, invites papers
that explore the use of NLP and LLMs to advance linguistic research,
with a particular focus on linguistic diversity. Instead of asking
what linguistics can do for NLP, we encourage the complementary
perspective: what can NLP do for the scientific analysis and modeling
of language as spoken by humans around the globe? Of special
importance is research that explores under-researched languages and
linguistic phenomena, investigates the needs of underrepresented
groups and communities of speakers, and advances our understanding of
how current NLP models can contribute to the scientific study of
language and linguistic diversity. Furthermore, the theme track
explicitly invites papers that take a critical scientific perspective
on current NLP technology, reflect on potential limitations of
existing models, or propose new NLP-based methods for the scientific
study of language.
Submission Details:
All papers must be submitted through ACL Rolling Review (ARR). The
latest possible submission time is the ARR 2026 October cycle, but
papers that have already received reviews and a meta-review from ARR
in earlier cycles can also be committed to COLING 2027. Please note
that the October ARR cycle is shared between COLING 2027 and NAACL
2027 and that authors will be able to choose which conference they
want to commit their paper to (only) after the meta-reviews have been
released.
COLING 2027 invites the submission of long papers of up to eight (8)
pages and short papers of up to four (4) pages. These page limits only
apply to the main body of the paper. At the end of the paper (after
the conclusion but before the references), there must be a mandatory
section discussing limitations and, optionally, a section on ethical
considerations. Papers can include an unlimited number of pages of
references and an unlimited appendix. Authors should follow the
guidelines on the ARR website (https://aclrollingreview.org/), where
templates are also available.
Special theme papers: The special theme can only be selected when
committing to COLING 2027 after the meta-review stage. For the first
submission to ARR, just choose the best fit among the standard tracks.
Important Dates:
- ARR submission deadline (long & short papers): October 12, 2026
- Commitment after meta-reviews: December 23, 2026
- Notification of acceptance: February 10, 2027
- Virtual Conference (online presentations): May 6–7, 2027
- Main Conference (in-person only): May 9–14, 2027
General Chairs:
- Katrin Erk, University of Massachusetts Amherst
- Chengqing Zong, Institute of Automation, Chinese Academy of Sciences
Program Chairs:
- Minlie Huang, Tsinghua University
- Joakim Nivre, Uppsala University
- Alexis Palmer, University of Colorado Boulder
- Sina Zarrieß, University of Bielefeld
For questions about submissions: coling2027-pcchairs at googlegroups.com

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