Language identification (" LI") is the problem of determining the natural language that a
document or part thereof is written in. Automatic LI has been extensively researched for over …

We present the results of the third edition of the Discriminating between Similar Languages
(DSL) shared task, which was organized as part of the VarDial'2016 workshop at …

We present the results of the VarDial Evaluation Campaign on Natural Language
Processing (NLP) for Similar Languages, Varieties and Dialects, which we organized as part …

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 summarizes the methods, results and findings of the Discriminating between
Similar Languages (DSL) shared task 2014. The shared task provided data from 13 different …

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

We present the results of the 2nd edition of the Discriminating between Similar Languages
(DSL) shared task, which was organized as part of the LT4VarDial'2015 workshop and …

In this paper we describe a system developed to identify a set of four regional Arabic dialects
(Egyptian, Gulf, Levantine, North African) and Modern Standard Arabic (MSA) in a …

We present an analysis of the performance of machine learning classifiers on discriminating
between similar languages and language varieties. We carried out a number of experiments …

We present a method to discriminate between texts written in either the Netherlandic or the
Flemish variant of the Dutch language. The method draws on a feature bundle representing …