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 The Arabic Online Commentary (AOC)(Zaidan and Callison-Burch, 2011) is a large-
scale repos-itory of Arabic dialects with manual labels for4varieties of the language. Existing …

We present the results of our participation in the VarDial 4 shared task on discriminating
closely related languages. Our submission includes simple traditional models using linear …

We address fine-grained multilingual language identification: providing a language code for
every token in a sentence, including codemixed text containing multiple languages. Such …

This paper describes the submissions by team HWR to the Dravidian Language
Identification (DLI) shared task organized at VarDial 2021 workshop. The DLI training set …

Language Identification is the task of identifying a document's language. For applications
like automatic spell checker selection, language identification must use very short strings …

While language identification works well on standard texts, it performs much worse on social
media language, in particular dialectal language—even for English. First, to support work on …

Code switching (CS) is a very common phenomenon in written and spoken communication
but one that is handled poorly by many natural language processing applications. Looking …

This paper develops an approach to language identification in which the set of languages
considered by the model depends on the geographic origin of the text in question. Given that …

This paper provides language identification models for low-and under-resourced languages
in the Pacific region with a focus on previously unavailable Austronesian languages …