A systemic-functional approach to Japanese text understanding

Noriko Ito, Toru Sugimoto, Michio Sugeno

研究成果: Chapter

5 被引用数 (Scopus)

抄録

We have implemented a Japanese text processing system, combining the existing parser and dictionary with the linguistic resources that we developed based on systemic functional linguistics. In this paper, we explain the text understanding algorithm of our system that utilizes the various linguistic resources in the Semiotic Base suggested by Halliday. First, we describe the structure of the SB and the linguistic resources stored in it. Then, we depict the text understanding algorithm using the SB. The process starts with morphological and dependency analyses by the non-SFL-based existing parser, followed by looking up the dictionary to enrich the input for SFL-based analysis. After mapping the pre-processing results onto systemic features, the path identification of selected features and unification based on O'Donnell are conducted with reference to the linguistic resource represented in the system networks. Consequently, we obtain graphological, lexicogrammatical, semantic and conceptual annotations of a given text.

本文言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
編集者Alexander Gelbukh
出版社Springer Verlag
ページ26-37
ページ数12
ISBN(印刷版)3540210067, 9783540210061
DOI
出版ステータスPublished - 2004
外部発表はい

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2945
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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