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 …

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 …

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 our participation in the SemEval-2018 task Multilingual Emoji
Prediction. We participated in both English and Spanish subtasks, experimenting with …

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 paper describes the work done by team tearsofjoy participating in the VarDial 2019
Evaluation Campaign. We developed two systems based on Support Vector Machines: SVM …

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 the language identification systems used by the SUKI team in the
Discriminating between the Mainland and Taiwan variation of Mandarin Chinese (DMT) and …