Probabilistic GLR Parsing: A New Formalization and Its Impact on Parsing Performance

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Author(s)

    • INUl Kentaro
    • Department of Artificial Intelligence, Kyushu Institute of Technology
    • TANAKA Hozumi
    • Graduate School of Information Science and Engineering, Tokyo Institute of Technology
    • TOKUNAGA Takenobu
    • Graduate School of Information Science and Engineering, Tokyo Institute of Technology

Journal

  • 自然言語処理 = Journal of natural language processing

    自然言語処理 = Journal of natural language processing 5(3), 33-52, 1998-07-10

References:  23

Cited by:  13

Codes

  • NII Article ID (NAID)
    10008827704
  • NII NACSIS-CAT ID (NCID)
    AN10472659
  • Text Lang
    ENG
  • Article Type
    Journal Article
  • ISSN
    13407619
  • Data Source
    CJP  CJPref 
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