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Volumn , Issue , 2007, Pages 840-847

Chinese segmentation with a word-based perceptron algorithm

Author keywords

[No Author keywords available]

Indexed keywords

BEAMSEARCH; CHARACTER FEATURE; CHINESE SEGMENTATION; CHINESE WORD SEGMENTATION; DISCRIMINATIVE TRAINING; PERCEPTRON ALGORITHMS; VITERBI DECODING;

EID: 84860530065     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (131)

References (17)
  • 1
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    • (2004) Proceedings of ACL'04 , pp. 111-118
    • Collins, M.1    Roark, B.2
  • 2
    • 85127836544 scopus 로고    scopus 로고
    • Discriminative training methods for hidden markov models: Theory and experiments with perceptron algorithms
    • Philadelphia, USA, July
    • Michael Collins. 2002. Discriminative training methods for hidden markov models: Theory and experiments with perceptron algorithms. In Proceedings of EMNLP, pages 1-8, Philadelphia, USA, July.
    • (2002) Proceedings of EMNLP , pp. 1-8
    • Collins, M.1
  • 4
    • 85117736870 scopus 로고    scopus 로고
    • The second international Chinese word segmentation bakeoff
    • Jeju, Korea
    • Thomas Emerson. 2005. The second international Chinese word segmentation bakeoff. In Proceedings of The Fourth SIGHAN Workshop, Jeju, Korea.
    • (2005) Proceedings of the Fourth SIGHAN Workshop
    • Emerson, T.1
  • 5
    • 0033281425 scopus 로고    scopus 로고
    • Large margin classification using the perceptron algorithm
    • Y. Freund and R. Schapire. 1999. Large margin classification using the perceptron algorithm. In Machine Learning, pages 277-296.
    • (1999) Machine Learning , pp. 277-296
    • Freund, Y.1    Schapire, R.2
  • 6
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • Massachusetts, USA
    • J. Lafferty, A. McCallum, and F. Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of the 18th ICML, pages 282-289, Massachusetts, USA.
    • (2001) Proceedings of the 18th ICML , pp. 282-289
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 10
    • 85116342676 scopus 로고    scopus 로고
    • Chinese segmentation and new word detection using conditional random fields
    • Geneva, Switzerland
    • F. Peng, F. Feng, and A. McCallum. 2004. Chinese segmentation and new word detection using conditional random fields. In Proceedings of COLING, Geneva, Switzerland.
    • (2004) Proceedings of COLING
    • Peng, F.1    Feng, F.2    McCallum, A.3
  • 12
    • 84880862726 scopus 로고    scopus 로고
    • A dual-layer CRF based joint decoding method for cascade segmentation and labelling tasks
    • Hyderabad, India
    • Yanxin Shi and Mengqiu Wang. 2007. A dual-layer CRF based joint decoding method for cascade segmentation and labelling tasks. In Proceedings of IJCAI, Hyderabad, India.
    • (2007) Proceedings of IJCAI
    • Shi, Y.1    Wang, M.2
  • 13
    • 6344253989 scopus 로고    scopus 로고
    • The first international Chinese word segmentation bakeoff
    • Sapporo, Japan, July
    • Richard Sproat and Thomas Emerson. 2003. The first international Chinese word segmentation bakeoff. In Proceedings of The Second SIGHAN Workshop, pages 282-289, Sapporo, Japan, July.
    • (2003) Proceedings of the Second SIGHAN Workshop , pp. 282-289
    • Sproat, R.1    Emerson, T.2
  • 14
    • 0001076101 scopus 로고    scopus 로고
    • A stochastic finite-state word-segmentation algorithm for Chinese
    • R. Sproat, C. Shih, W. Gail, and N. Chang. 1996. A stochastic finite-state word-segmentation algorithm for Chinese. In Computational Linguistics, volume 22(3), pages 377-404.
    • (1996) Computational Linguistics , vol.22 , Issue.3 , pp. 377-404
    • Sproat, R.1    Shih, C.2    Gail, W.3    Chang, N.4
  • 15
    • 85119979405 scopus 로고    scopus 로고
    • Chinese word segmentation with maximum entropy and n-gram language model
    • Sydney, Australia, July
    • Xinhao Wang, Xiaojun Lin, Dianhai Yu, Hao Tian, and Xihong Wu. 2006. Chinese word segmentation with maximum entropy and n-gram language model. In Proceedings of the Fifth SIGHAN Workshop, pages 138-141, Sydney, Australia, July.
    • (2006) Proceedings of the Fifth SIGHAN Workshop , pp. 138-141
    • Wang, X.1    Lin, X.2    Yu, D.3    Tian, H.4    Wu, X.5
  • 17
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    • Subword-based tagging by conditional random fields for Chinese word segmentation
    • volume Short Papers, New York City, USA, June
    • Ruiqiang Zhang, Genichiro Kikui, and Eiichiro Sumita. 2006. Subword-based tagging by conditional random fields for Chinese word segmentation. In Proceedings of the Human Language Technology Conference of the NAACL, Companion, volume Short Papers, pages 193-196, New York City, USA, June.
    • (2006) Proceedings of the Human Language Technology Conference of the NAACL, Companion , pp. 193-196
    • Zhang, R.1    Kikui, G.2    Sumita, E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.