Publication | Open Access
Automatic Detection and Language Identification of Multilingual Documents
125
Citations
31
References
2014
Year
EngineeringCross-lingual RepresentationCorpus LinguisticsText MiningApplied LinguisticsNatural Language ProcessingMultilingual DocumentsLanguage DocumentationInformation RetrievalData ScienceData MiningRelative ProportionsComputational LinguisticsLanguage EngineeringDocument ClassificationLanguage StudiesMachine TranslationKnowledge DiscoveryCross-language RetrievalInformation ExtractionSynthetic DataLanguage RecognitionLinguisticsAutomatic Detection
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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