Overview

The long tradition of PACLIC conferences emphasizes the synergy of theoretical analysis and processing of language - from theoretical frameworks to cognitive accounts, from lexical processing to language understanding, and from computational modelling to multi-lingual applications.

The most important purpose of PACLIC conferences is to provide a forum where researchers in different fields of language study in different areas in the Pacific-Asia region working on issues pertaining to different languages can come together and talk, get to know each other, learn old wisdom, be enlightened by new insights and generally get entertained intellectually, and come home ready to initiate a new research program with new research partners in a new state of mind.

We value hybrid talks on linguistic principles and implementation details, massive data collection and extraction of abstract rules, automated proficiency evaluation and philosophical contemplation on language learning, although pure theory and pure technology will also be appreciated. We welcome bi-lingual or multi-lingual research, while due respects will be paid to mono-lingual research.

Important Dates

Paper submission deadline: August 2, 2025

Notification of acceptance: September 20, 2025

Camera-ready deadline: October 4, 2025

Conference dates: December 5-7, 2025

Submissions

As tradition, PACLIC 2025 has the goal of a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas (in alphabetical order):

• Language Studies
  • Corpus linguistics
  • Discourse analysis
  • Language acquisition
  • Language learning
  • Language, mind, and culture
  • Language theory
  • Morphology
  • Phonology
  • Pragmatics/Sociolinguistics
  • Semantics
  • Spoken language processing
  • Syntax
  • Typology
• Information Processing and Computational Applications
  • Cognitive modeling of language
  • Dialogue and interactive systems
  • Digital humanities
  • Information retrieval/extraction
  • Language resources
  • Machine learning/Data mining
  • Machine translation
  • Multi-linguality in NLP
  • NLP applications
  • Sentiment analysis and opinion mining
  • Social media
  • Text classification/summarization
  • Word segmentation