The Thirteenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial) 2026 will be co-located with EACL 2026 in Rabat, Morocco, in March 2026.
The call for papers with the timeline is available here.
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:
Language resources and tools for similar languages, varieties and dialects;
Evaluation of language resources and tools applied to non-dominant language varieties;
Cross-lingual transfer and adaptation of models to similar languages, varieties and dialects;
Automatic identification of lexical variation;
Automatic classification of language varieties;
Machine translation between closely-related languages, language varieties and dialects;
Corpus-driven studies in dialectology and language variation;
Computational approaches to mutual intelligibility between dialects and similar languages;
Text similarity and adaptation between language varieties;
Linguistic issues in the adaptation of language resources and tools (e.g., cognate detection, semantic discrepancies, lexical gaps, false friends);
Studies focusing on related creole languages and their lexifier languages;
Studies focusing on diachronic language variation (e.g. phylogenetic methods, historical 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)
Noëmi Aepli
University of Pennsylvania (USA)
Verena Blaschke
LMU Munich and Munich Center for Machine Learning (Germany)
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)