State-of-the-art natural language processing (NLP) models are trained on massive training
corpora, and report a superlative performance on evaluation datasets. This survey delves …

Ancient languages preserve the cultures and histories of the past. However, their study is
fraught with difficulties, and experts must tackle a range of challenging text-based tasks, from …

This report presents the results of the shared tasks organized as part of the VarDial
Evaluation Campaign 2023. The campaign is part of the tenth workshop on Natural …

This paper describes the results of the shared tasks organized as part of the VarDial
Evaluation Campaign 2021. The campaign was part of the eighth workshop on Natural …

This paper presents the results of the VarDial Evaluation Campaign 2020 organized as part
of the seventh workshop on Natural Language Processing (NLP) for Similar Languages …

There has been a lot of recent interest in the natural language processing (NLP) community
in the computational processing of language varieties and dialects, with the aim to improve …

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 paper describes the submissions by team HWR to the Dravidian Language
Identification (DLI) shared task organized at VarDial 2021 workshop. The DLI training set …

Problem Recognizing written languages using symbols written in cuneiform is a tough
endeavor due to the lack of information and the challenge of the process of tokenization. The …

We present a novel corpus for French dialect identification comprising 413,522 French text
samples collected from public news websites in Belgium, Canada, France and Switzerland …