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Volumn , Issue , 2009, Pages 647-655

Linear complexity context-free parsing pipelines via chart constraints

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; PIPELINES;

EID: 84858416194     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1620754.1620849     Document Type: Conference Paper
Times cited : (17)

References (14)
  • 9
    • 0011450901 scopus 로고
    • An efficient recognition and syntax analysis algorithm for context-free languages
    • Air Force Cambridge Research Lab., Bedford, MA
    • T. Kasami. 1965. An efficient recognition and syntax analysis algorithm for context-free languages. Technical report, AFCRL-65-758, Air Force Cambridge Research Lab., Bedford, MA.
    • (1965) Technical Report, AFCRL-65-758
    • Kasami, T.1
  • 10
    • 34249852033 scopus 로고
    • Building a large annotated corpus of English: The penn treebank
    • M.P. Marcus, B. Santorini, and M.A. Marcinkiewicz. 1993. Building a large annotated corpus of English: The Penn Treebank. Computational Linguistics, 19(2):313-330.
    • (1993) Computational Linguistics , vol.19 , Issue.2 , pp. 313-330
    • Marcus, M.P.1    Santorini, B.2    Marcinkiewicz, M.A.3
  • 11
    • 0032660854 scopus 로고    scopus 로고
    • Learning to parse natural language with maximum entropy models
    • A. Ratnaparkhi. 1999. Learning to parse natural language with maximum entropy models. Machine Learning, 34(1-3):151-175.
    • (1999) Machine Learning , vol.34 , Issue.1-3 , pp. 151-175
    • Ratnaparkhi, A.1
  • 13
    • 34247580694 scopus 로고    scopus 로고
    • The penn Chinese treebank: Phrase structure annotation of a large corpus
    • N. Xue, F. Xia, F. Chiou, and M. Palmer. 2004. The Penn Chinese treebank: Phrase structure annotation of a large corpus. Natural Language Engineering, 10(4):1-30.
    • (2004) Natural Language Engineering , vol.10 , Issue.4 , pp. 1-30
    • Xue, N.1    Xia, F.2    Chiou, F.3    Palmer, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.