Italy is characterized by a one-of-a-kind linguistic diversity landscape in Europe, which
implicitly encodes local knowledge, cultural traditions, artistic expressions, and history of its …

Language identification is an important first step in many IR and NLP applications. Most
publicly available language identification datasets, however, are compiled under the …

This report presents the results of the shared tasks organized as part of the VarDial
Evaluation Campaign 2024. The campaign is part of the eleventh workshop on Natural …

We introduce DiatopIt, the first corpus specifically focused on diatopic language variation in
Italy for language varieties other than Standard Italian. DiatopIt comprises over 15K …

These proceedings include the 13 papers presented at the Ninth Workshop on NLP for
Similar Languages, Varieties and Dialects (VarDial), co-located with the 29th International …

Existing large language models (LLMs) that mainly focus on Standard American English
(SAE) often lead to significantly worse performance when being applied to other English …

Natural language processing (NLP) has largely focused on modelling standardized
languages. More recently, attention has increasingly shifted to local, non-standardized …

In this work, we induce character-level noise in various forms when fine-tuning BERT to
enable zero-shot cross-lingual transfer to unseen dialects and languages. We fine-tune …

This article describes the language identification system used by the SUKI team in the 2022
Nuanced Arabic Dialect Identification (NADI) shared task. In addition to the system …

We argue that dialect identification should be treated as a multi-label classification problem
rather than the single-class setting prevalent in existing collections and evaluations. In order …