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A Statistical Part-of-Speech Tagger for Persian
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Computational Linguistics)
2011 (English)In: Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA 2011 / [ed] Bolette Sandford Pedersen, Gunta Nešpore and Inguna Skadiņa, 2011, 340-343 p.Conference paper (Refereed)
Abstract [en]

This paper presents the statistical part-of-speech tagger HunPoS trained on a Persian corpus. The result of the experiments shows that HunPoS provides an overall accuracy of 96.9%, which is the best result reported for Persian part-of-speech tagging.

Place, publisher, year, edition, pages
2011. 340-343 p.
NEALT Proceedings Series, ISSN 1736-8197 ; 11
Keyword [en]
Persian Part-of-Speech Tagging
National Category
Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
URN: urn:nbn:se:uu:diva-154562OAI: diva2:421097
NODALIDA 2011, Riga, Latvia, May 11–13, 2011
Available from: 2011-06-13 Created: 2011-06-07 Last updated: 2015-05-25Bibliographically approved

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Seraji, Mojgan
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