A Fast, Compact, Accurate model for Language Identification of Codemixed Text

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In this paper, we show that a feed-forward network with a simple globally constrained decoder can accurately and rapidly label both codemixed and monolingual text in 100 languages and 100 language pairs. This model outperforms previously published multilingual approaches in terms of both accuracy and speed, yielding an 800x speed-up and a 19.2% averaged absolute gain on three codemixed datasets.

A fast, compact, accurate model for language identification of codemixed text Y Zhang, J Riesa, D Gillick, A Bakalov, J Baldridge, D Weiss arXiv preprint arXiv:1810.04142, 2018.

Automatic language detection checkbox is missing. GitHub ropensci cld3: Bindings to Google s Compact Language Detector 3.

Language Identification: A Tutorial IEEE Journals Magazine. Group identification and language in south africa. Which Method is best for Script language Identification. Conference Schedule - EMNLP 2018. Fast and accurate language identification using fastText. It can recognize more than 170 languages, takes less than 1MB of memory and can classify thousands of documents per second. It is based on fastText library and is released here as open source, free to use by everyone. We are releasing several versions of the model.

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