A statistical part-of-speech tagger for Persian

Proceedings of the 18th Nordic Conference of Computational Linguistics, NODALIDA 2011

Volumn , Issue , 2011, Pages 340-343

  Seraji, Mojgan ^a  

^a UPPSALA UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

OVERALL ACCURACIES; PART OF SPEECH TAGGING; PART-OF-SPEECH TAGGER; PART-OF-SPEECH TAGS; PARTS-OF-SPEECH TAGGING; PERSIANS;

COMPUTATIONAL LINGUISTICS;

EID: 85101786835     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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2. Mahmood Bijankhan. 2004. The Role of the Corpus in writing a Grammar: An Introduction to a Software. Iranian Journal of Linguistics, 19.
3. Thorsten Brants. 2000. TnT a Statistical Part-of-Speech Tagger. In Proceedings of the 6th Applied Natural Language Processing Conference (ANLP-00), Seattle, Washington, USA.
4. Erik Brill. 1995. Transformation-based error-driven learning and natural language processing: A case study in part-of-speech tagging. Computational Linguistics, 21:543-566.
5. Walter Daelemans, Jakob Zavrel, Peter Berck, and Steven Gillis. 1997. A memory-based part-ofspeech tagger generator. In Eva Ejerhed and Ido Dagan, editors, Proceedings of the Fourth Workshop on Very Large Corpora.
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7. Dinesh Kumar and Josan Gurpreet Singh. 2010. Part of Speech Tagger for Morphologically Rich Indian Languages: A Survey.
8. Farhad Oroumchian, Samira Tasharofi, Hadi Amiri, Hossein Hojjat, and Fahimeh Raja. 2006. Creating a Feasible Corpus for Persian POS Tagging. Technical report, no.TR3/06, University of Wollongong in Dubai.
9. Fahimeh Raja, Hadi Amiri, Samira Tasharofi, Hossein Hojjat, and Farhad Oroumchian. 2007. Evaluation of part-of-speech tagging on Persian text. The Second Workshop on Computational approaches to Arabic Script-based Languages, Linguistic Institute Stanford University.
10. Adwait Ratnaparkhi. 1996. A maximum entropy model for part-of-speech tagging. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).