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Automatic Detection and Language Identification of Multilingual Documents
Author(s) -
Marco Lui,
Jey Han Lau,
Timothy Baldwin
Publication year - 2014
Publication title -
transactions of the association for computational linguistics
Language(s) - English
Resource type - Journals
ISSN - 2307-387X
DOI - 10.1162/tacl_a_00163
Subject(s) - computer science , natural language processing , identification (biology) , task (project management) , language identification , artificial intelligence , information retrieval , natural language , botany , management , economics , biology
Language identification is the task of automatically detecting the language(s) present in a document based on the content of the document. In this work, we address the problem of detecting documents that contain text from more than one language (multilingual documents). We introduce a method that is able to detect that a document is multilingual, identify the languages present, and estimate their relative proportions. We demonstrate the effectiveness of our method over synthetic data, as well as real-world multilingual documents collected from the web.

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