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

In this paper we present the experiments and results by the SUKI team in the German
Dialect Identification shared task of the VarDial 2018 Evaluation Campaign. Our submission …

This article describes an unsupervised language model (LM) adaptation approach that can
be used to enhance the performance of language identification methods. The approach is …

This paper describes our automatic dialect identification system for recognizing four major
Arabic dialects, as well as Modern Standard Arabic. We adapted the X-vector framework …

In order to successfully annotate the Arabic speech content found in open-domain media
broadcasts, it is essential to be able to process a diverse set of Arabic dialects. For the 2017 …

This paper describes an Arabic Automatic Speech Recognition system developed on 15
hours of Multi-Genre Broadcast (MGB-3) data from YouTube, plus 1,200 hours of Multi …

Arabic dialect identification is a specific task of natural language processing, aiming to
automatically predict the Arabic dialect of a given text. Arabic dialect identification is the first …

In this paper we present the GDI_classification entry to the second German Dialect
Identification (GDI) shared task organized within the scope of the VarDial Evaluation …

Abstract Arabic Dialect Identification is the process of identifying the speaker's dialect based
on several features in the corresponding acoustic wave. In this research, machine learning …