Article | Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden | Evaluation of language identification methods using 285 languages
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Title:
Evaluation of language identification methods using 285 languages
Author:
Tommi Jauhiainen: University of Helsinki, Finland Krister Lindén: University of Helsinki, Finland Heidi Jauhiainen: University of Helsinki, Finland
Download:
Full text (pdf)
Year:
2017
Conference:
Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden
Issue:
131
Article no.:
021
Pages:
183-191
No. of pages:
9
Publication type:
Abstract and Fulltext
Published:
2017-05-08
ISBN:
978-91-7685-601-7
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Language identification is the task of giving a language label to a text. It is an important preprocessing step in many automatic systems operating with written text. In this paper, we present the evaluation of seven language identification methods that was done in tests between 285 languages with an out-of-domain test set. The evaluated methods are, furthermore, described using unified notation. We show that a method performing well with a small number of languages does not necessarily scale to a large number of languages. The HeLI method performs best on test lengths of over 25 characters, obtaining an F1-score of 99.5 already at 60 characters.

Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden

Author:
Tommi Jauhiainen, Krister Lindén, Heidi Jauhiainen
Title:
Evaluation of language identification methods using 285 languages
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Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden

Author:
Tommi Jauhiainen, Krister Lindén, Heidi Jauhiainen
Title:
Evaluation of language identification methods using 285 languages
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