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 …

This overview presents the framework and the results of the Author Profiling task at PAN
2017. The objective of this year is to address gender and language variety identification. For …

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 …

Abstract Language is a social phenomenon and variation is inherent to its social nature.
Recently, there has been a surge of interest within the computational linguistics (CL) …

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

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 …

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 …