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Volumn , Issue , 2009, Pages 363-371

Weakly supervised part-of-speech tagging for morphologically-rich, resource-scarce languages

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; INDUSTRIAL PLANTS; NATURAL LANGUAGE PROCESSING SYSTEMS; SYNTACTICS;

EID: 80053281274     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1609067.1609107     Document Type: Conference Paper
Times cited : (10)

References (22)
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    • Clark, A.1
  • 4
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    • Unsupervised part-of-speech acquisition for resource-scarce languages
    • Sajib Dasgupta and Vincent Ng. 2007. Unsupervised part-of-speech acquisition for resource-scarce languages. In Proceedings of EMNLP-CoNLL, pages 218-227.
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    • Dasgupta, S.1    Ng, V.2
  • 8
    • 84859881696 scopus 로고    scopus 로고
    • EM can find pretty good HMM POS-taggers (when given a good start)
    • Yoav Goldberg, Meni Adler, and Michael Elhadad. 2008. EM can find pretty good HMM POS-taggers (when given a good start). In Proceedings of ACL-08.HLT, pages 746-754.
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  • 9
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    • Goldsmith, J.1
  • 10
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    • A fully Bayesian approach to unsupervised part-of-speech tagging
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    • (2007) Proceedings of the ACL , pp. 744-751
    • Goldwater, S.1    Griffiths, T.L.2
  • 11
    • 70049102734 scopus 로고    scopus 로고
    • Prototype-driven learning for sequence models
    • Aria Haghighi and Dan Klein. 2006. Prototype-driven learning for sequence models. In Proceedings of HLT-NAACL, pages 320-327.
    • (2006) Proceedings of HLT-NAACL , pp. 320-327
    • Haghighi, A.1    Klein, D.2
  • 12
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    • Why doesn't EM find good HMM POS-taggers?
    • Mark Johnson. 2007. Why doesn't EM find good HMM POS-taggers? In Proceedings of EMNLP-CoNLL, pages 296-305.
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    • Tagging english text with a probabilistic model
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    • Distributional part-of-speech tagging
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.