It is becoming increasingly difficult to know who is working on what and how in
computational studies of Dialectal Arabic. This study comes to chart the field by conducting a …

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 and the findings of the Second VarDial Evaluation Campaign on
Natural Language Processing (NLP) for Similar Languages, Varieties and Dialects. The …

In this work, we present an approach based on combining string kernels and word
embeddings for automatic essay scoring. String kernels capture the similarity among strings …

Proper dialect identification is important for a variety of Arabic NLP applications. In this
paper, we present a method for rapidly constructing a tweet dataset containing a wide range …

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 QADI, an automatically collected dataset of tweets belonging to a wide range of
country-level Arabic dialects-covering 18 different countries in the Middle East and North …

We present a machine learning approach for the Arabic Dialect Identification (ADI) and the
German Dialect Identification (GDI) Closed Shared Tasks of the DSL 2017 Challenge. The …

This paper evaluates global-scale dialect identification for 14 national varieties of English as
a means for studying syntactic variation. The paper makes three main contributions:(i) …