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Volumn 6458 LNCS, Issue , 2010, Pages 420-431

A local generative model for Chinese word segmentation

Author keywords

Chinese word segmentation; natural language processing; probability model

Indexed keywords

CHINESE WORD SEGMENTATION; DISCRIMINATIVE MODELS; GENERATIVE MODEL; GIBBS SAMPLING; LANGUAGE MODEL; LEARNING PROCESS; NATURAL LANGUAGE PROCESSING; PROBABILITY MODEL; STATE-OF-THE-ART METHODS; PROBABILITY MODELING;

EID: 78650887178     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17187-1_41     Document Type: Conference Paper
Times cited : (1)

References (13)
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    • Bayesian unsupervised word segmentation with nested Pitman-Yor language modeling
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    • Mochihashi, D.1    Yamada, T.2    Ueda, N.3
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    • Information retrieval oriented word segmentation based on character associative strength ranking
    • Liu, Y., Wang, B., Ding, F., Xu, S.: Information retrieval oriented word segmentation based on character associative strength ranking. In: The Conference on EMNLP, vol. 1, pp. 1061-1069 (2008)
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    • Punctuation as implicit annotations for Chinese word segmentation
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    • Li, Z.1    Sun, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.