A fully-lexicalized probabilistic model for Japanese syntactic and case structure analysis

Daisuke Kawahara, Sadao Kurohashi

Research output: Contribution to conferencePaper

64 Citations (Scopus)

Abstract

We present an integrated probabilistic model for Japanese syntactic and case structure analysis. Syntactic and case structure are simultaneously analyzed based on wide-coverage case frames that are constructed from a huge raw corpus in an unsupervised manner. This model selects the syntactic and case structure that has the highest generative probability. We evaluate both syntactic structure and case structure. In particular, the experimental results for syntactic analysis on web sentences show that the proposed model significantly outperforms known syntactic analyzers.

Original languageEnglish
Pages176-183
Number of pages8
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 Human Language Technology Conference - North American Chapter of the Association for Computational Linguistics Annual Meeting, HLT-NAACL 2006 - New York, NY, United States
Duration: 2006 Jun 42006 Jun 9

Conference

Conference2006 Human Language Technology Conference - North American Chapter of the Association for Computational Linguistics Annual Meeting, HLT-NAACL 2006
CountryUnited States
CityNew York, NY
Period06/6/406/6/9

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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    Kawahara, D., & Kurohashi, S. (2006). A fully-lexicalized probabilistic model for Japanese syntactic and case structure analysis. 176-183. Paper presented at 2006 Human Language Technology Conference - North American Chapter of the Association for Computational Linguistics Annual Meeting, HLT-NAACL 2006, New York, NY, United States. https://doi.org/10.3115/1220835.1220858