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Volumn 27, Issue 6, 2004, Pages 736-742

Chinese word segmentation without using dictionary based on unsupervised learning strategy

Author keywords

Bigram of Chinese characters; Chinese word segmentation; Combination of mutual information and t test; Unsupervised learning

Indexed keywords

ALGORITHMS; COMPUTER APPLICATIONS;

EID: 3142751938     PISSN: 02544164     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (22)

References (7)
  • 3
    • 3142693565 scopus 로고    scopus 로고
    • Using character bigram for ambiguity resolution in Chinese word segmentation
    • Chinese source
    • Sun Mao-Song, Huang Chang-Ning, Tsou B K, Shen Da-Yang, Lu Fang. Using character bigram for ambiguity resolution in Chinese word segmentation. Computer Research and Development, 1997, 34(5): 332-339 (in Chinese)
    • (1997) Computer Research and Development , vol.34 , Issue.5 , pp. 332-339
    • Sun, M.-S.1    Huang, C.-N.2    Tsou, B.K.3    Shen, D.-Y.4    Lu, F.5
  • 4
    • 0038089694 scopus 로고    scopus 로고
    • Word segmentation without using handcrafted dictionary based on machine learning
    • Chinese source
    • Huang Xun-Jing, Wu Li-De. Word segmentation without using handcrafted dictionary based on machine learning. Pattern Recognition and Artificial Intelligence, 1996, 6(4): 297-303 (in Chinese)
    • (1996) Pattern Recognition and Artificial Intelligence , vol.6 , Issue.4 , pp. 297-303
    • Huang, X.-J.1    Wu, L.-D.2
  • 6
    • 3142719914 scopus 로고    scopus 로고
    • Chinese word segmentation system based on the hybrid of string frequencies and word matching
    • Chinese source
    • Liu Ting, Wu Yan. Chinese word segmentation system based on the hybrid of string frequencies and word matching. Journal of Chinese Information Processing, 1998, 12(1): 17-25 (in Chinese)
    • (1998) Journal of Chinese Information Processing , vol.12 , Issue.1 , pp. 17-25
    • Liu, T.1    Wu, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.