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        <title>An empirical study of maximum entropy approach for part-of-speech tagging of Vietnamese texts</title>
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        <namePart type="given">Phuong</namePart>
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        <namePart type="given">Azim</namePart>
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        <namePart type="family">Minh Huyen Nguyen</namePart>
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        <namePart type="given">Mathias</namePart>
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            <namePart type="given">Philippe</namePart>
            <namePart type="family">Langlais</namePart>
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            <namePart type="given">Michel</namePart>
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    <abstract>This paper presents an empirical study on the application of the maximum entropy approach for part-of-speech tagging of Vietnamese text, a language with special characteristics which largely distinguish it from occidental languages. Our best tagger explores and includes useful knowledge sources for tagging Vietnamese text and gives a 93.40%overall accuracy and a 80.69%unknown word accuracy on a test set of the Vietnamese treebank. Our tagger significantly outperforms the tagger that is being used for building the Vietnamese treebank, and as far as we are aware, this is the best tagging result ever published for the Vietnamese language.</abstract>
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%0 Conference Proceedings
%T An empirical study of maximum entropy approach for part-of-speech tagging of Vietnamese texts
%A Le-Hong, Phuong
%A Roussanaly, Azim
%A Minh Huyen Nguyen, Thi
%A Rossignol, Mathias
%Y Langlais, Philippe
%Y Gagnon, Michel
%S Actes de la 17e conférence sur le Traitement Automatique des Langues Naturelles. Articles longs
%D 2010
%8 July
%I ATALA
%C Montréal, Canada
%F le-hong-etal-2010-empirical
%X This paper presents an empirical study on the application of the maximum entropy approach for part-of-speech tagging of Vietnamese text, a language with special characteristics which largely distinguish it from occidental languages. Our best tagger explores and includes useful knowledge sources for tagging Vietnamese text and gives a 93.40%overall accuracy and a 80.69%unknown word accuracy on a test set of the Vietnamese treebank. Our tagger significantly outperforms the tagger that is being used for building the Vietnamese treebank, and as far as we are aware, this is the best tagging result ever published for the Vietnamese language.
%U https://aclanthology.org/2010.jeptalnrecital-long.36
%P 351-362

Markdown (Informal)

[An empirical study of maximum entropy approach for part-of-speech tagging of Vietnamese texts](https://aclanthology.org/2010.jeptalnrecital-long.36) (Le-Hong et al., JEP/TALN/RECITAL 2010)

• An empirical study of maximum entropy approach for part-of-speech tagging of Vietnamese texts (Le-Hong et al., JEP/TALN/RECITAL 2010)

ACL

• Phuong Le-Hong, Azim Roussanaly, Thi Minh Huyen Nguyen, and Mathias Rossignol. 2010. An empirical study of maximum entropy approach for part-of-speech tagging of Vietnamese texts. In Actes de la 17e conférence sur le Traitement Automatique des Langues Naturelles. Articles longs, pages 351–362, Montréal, Canada. ATALA.