The Twelfth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial) 2025 will be co-located with COLING 2025 in Abu Dhabi, UAE, on January 19, 2025.
The call for papers with the timeline is available here.
Note: The paper submission deadline has been extended to November 12th.
VarDial is a well-established series of workshops promoting a forum for scholars working on a range of topics related to the study of diatopic language variation from a computational perspective.
The workshop deals with computational methods and language resources for closely related languages, language varieties, and dialects. We welcome papers dealing with one or more of the following topics:
Corpora, resources, and tools for similar languages, varieties and dialects;
Adaptation of tools (taggers, parsers) for similar languages, varieties and dialects;
Evaluation of language resources and tools when applied to language varieties;
Reusability of language resources in NLP applications (e.g., for machine translation, POS tagging, syntactic parsing, etc.);
Corpus-driven studies in dialectology and language variation;
Computational approaches to mutual intelligibility between dialects and similar languages;
Automatic identification of lexical variation;
Automatic classification of language varieties;
Text similarity and adaptation between language varieties;
Linguistic issues in the adaptation of language resources and tools (e.g., semantic discrepancies, lexical gaps, false friends);
Machine translation between closely related languages, language varieties and dialects.
In addition to the topics listed above, we also welcome papers dealing with diachronic language variation (e.g. phylogenetic methods, historical dialects).
Papers presented at the past editions of VarDial focused on machine translation between closely related languages and language varieties, adaptation of POS taggers and parsers for similar languages and language varieties, compilation of corpora, spelling normalization, computational approaches to the study of mutual intelligibility, and the automatic identification of similar languages and dialects.
Contact: yves.scherrer@ifi.uio.no - tommi.jauhiainen@helsinki.fi
Yves Scherrer
University of Oslo (Norway)
Tommi Jauhiainen
University of Helsinki (Finland)
Nikola Ljubešić
Jožef Stefan Institute and University of Ljubljana (Slovenia)
Preslav Nakov
Mohamed bin Zayed University of Artificial Intelligence (UAE)
Jörg Tiedemann
University of Helsinki (Finland)
Marcos Zampieri
George Mason University (USA)