February 02, 2024 | BY yvesscherrer
Contact:
Yves Scherrer
Tommi Jauhiainen
The VarDial 2024 organizers are excited to announce the two shared tasks of the 2024 evaluation campaign:
1. The DIALECT-COPA shared task on dialectal causal commonsense reasoning
December 21, 2023 | BY tommi.jauhiainen
Contact:
Yves Scherrer
Tommi Jauhiainen
** Deadline extended to March 17th, 23:59 AoE **
Call for Papers: VarDial 2024 - Eleventh Workshop on NLP for Similar Languages, Varieties and Dialects
VarDial 2024: https://sites.google.com/view/vardial-2024/home
We are planning to organize shared tasks together with VarDial 2024 in similar manner to the previous editions of the workshop. The website will be updated with shared task information as soon as they are confirmed. Please check the website for more details.
June 03, 2023 | BY BO'Connor
Registration is open for Bridging fieldwork, corpus, and experimental methods to study sociolectal variation, July 8-9, 2023, at the University of Massachusetts Amherst, during the 2023 Linguistic Institute! Registration closes at the end of the day June 9, 2023.
Website: https://blogs.umass.edu/bridging-socio/
Register by June 9, 2023, at our website to attend either in-person or virtually. Note: availability of accommodations for in-person attendance is very limited. Registration is free.
May 20, 2022 | BY yvesscherrer
Deadline extension: VarDial 2022 - Ninth Workshop on NLP for Similar Languages, Varieties and Dialects
Co-located with COLING 2022, at VarDial we anticipate discussion on computational methods and on language resources for closely related languages, language varieties and dialects. We plan to organize VarDial 2022 as a hybrid workshop with options for both on-site and remote participation. We accept paper submissions until July 22, 2022 (details below).
June 06, 2014 | BY cvertan
Contact:
Preslav Nakov
Petya Osenova
Cristina Vertan
MOTIVATION
Recent initiatives in language technology have lead to the development of at least minimal
language processing toolkits for all EU-official languages, as well as for languages with a
large number of speakers worldwide such as Chinese and Arabic. This is a big step towards
the automatic processing and/or extraction of information, especially from official documents
and newspapers, where the standard, literary language is used.
Apart from those official languages, a large number of dialects or closely-related language
