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Volumn , Issue , 2014, Pages 886-897

What can we get from 1000 tokens? A case study of multilingual pos tagging for resource-poor languages

Author keywords

[No Author keywords available]

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS; SYNTACTICS;

EID: 84961289608     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/d14-1096     Document Type: Conference Paper
Times cited : (29)

References (29)
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    • Berger, A.L.1    Pietra, S.A.D.2    Pietra, V.J.D.3
  • 7
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    • Increasing the quality and quantity of source language data for unsupervised cross- lingual pos tagging
    • Asian Federation of Natural Language Processing
    • Long Duong, Paul Cook, Steven Bird, and Pavel Pecina. 2013a. Increasing the quality and quantity of source language data for Unsupervised Cross- Lingual POS tagging. Proceedings of the Sixth International Joint Conference on Natural Language Processing, pages 1243-1249. Asian Federation of Natural Language Processing.
    • (2013) Proceedings of the Sixth International Joint Conference on Natural Language Processing , pp. 1243-1249
    • Duong, L.1    Cook, P.2    Bird, S.3    Pecina, P.4
  • 12
    • 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 In Proc. ACL, pages 746-754.
    • (2008) Proc. ACL , pp. 746-754
    • Goldberg, Y.1    Adler, M.2    Elhadad, M.3
  • 15
    • 44949230930 scopus 로고    scopus 로고
    • Europarl: A parallel corpus for statistical machine translation
    • Phuket, Thailand. AAMT
    • Philipp Koehn. 2005. Europarl: A Parallel Corpus for Statistical Machine Translation. In Proceedings of the Tenth Machine Translation Summit (MT Summit X), pages 79-86, Phuket, Thailand. AAMT.
    • (2005) Proceedings of the Tenth Machine Translation Summit (MT Summit X) , pp. 79-86
    • Koehn, P.1
  • 18
    • 0042879653 scopus 로고    scopus 로고
    • A systematic comparison of various statistical alignment models
    • March
    • Franz Josef Och and Hermann Ney. 2003. A systematic comparison of various statistical alignment models. Comput. Linguist., 29(1):19-51, March.
    • (2003) Comput. Linguist. , vol.29 , Issue.1 , pp. 19-51
    • Och, F.J.1    Ney, H.2
  • 24
    • 33947615175 scopus 로고    scopus 로고
    • Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data
    • May
    • Charles Sutton, Andrew McCallum, and Khashayar Rohanimanesh. 2007. Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data. J. Mach. Learn. Res., 8:693-723, May.
    • (2007) J. Mach. Learn. Res. , vol.8 , pp. 693-723
    • Sutton, C.1    Mccallum, A.2    Rohanimanesh, K.3
  • 26
    • 85162047720 scopus 로고    scopus 로고
    • A bayesian lda-based model for semi-supervised partof- speech tagging
    • J.C. Platt, D. Koller, and Y. Singer a nd S.T. Roweis, editors, Curran Associates, Inc
    • Kristina Toutanova and Mark Johnson. 2008. A bayesian lda-based model for semi-supervised partof- speech tagging. In J.C. Platt, D. Koller, and Y. Singer a nd S.T. Roweis, editors, Advances in Neural Information Processing Systems 20, pages 1521-1528. Curran Associates, Inc.
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    • Toutanova, K.1    Johnson, M.2
  • 28
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    • Distributed word clustering for large scale class-based language modeling in machine translation
    • Jakob Uszkoreit and Thorsten Brants. 2008. Distributed word clustering for large scale class-based language modeling in machine translation. In In ACL International Conference Proceedings.
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    • Uszkoreit, J.1    Brants, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.