acl acl2012 acl2012-219 acl2012-219-reference knowledge-graph by maker-knowledge-mining

219 acl-2012-langid.py: An Off-the-shelf Language Identification Tool


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Author: Marco Lui ; Timothy Baldwin

Abstract: We present langid .py, an off-the-shelflanguage identification tool. We discuss the design and implementation of langid .py, and provide an empirical comparison on 5 longdocument datasets, and 2 datasets from the microblog domain. We find that langid .py maintains consistently high accuracy across all domains, making it ideal for end-users that require language identification without wanting to invest in preparation of in-domain training data.


reference text

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