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Volumn 2, Issue , 2010, Pages 528-536

Unsupervised phonemic chinese word segmentation using adaptor grammars

Author keywords

[No Author keywords available]

Indexed keywords

CHINESE WORD SEGMENTATION; LINGUISTIC MODELS; NON-PARAMETRIC; SEGMENTATION ACCURACY; STATE-OF-THE-ART PERFORMANCE; WORD SEGMENTATION;

EID: 80053393111     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (17)
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  • 2
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  • 5
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    • Columbus, Ohio, June. Association for Computational Linguistics
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  • 10
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    • Adaptor Grammars: A framework for specifying compositional nonparametric Bayesian models
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    • Johnson, Mark, Thomas L. Griffiths, and Sharon Goldwater. 2007. Adaptor Grammars: A framework for specifying compositional nonparametric Bayesian models. In Schölkopf, B., J. Platt, and T. Hoffman, editors, Advances in Neural Information Processing Systems 19, pages 641-648. MIT Press, Cambridge, MA.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.