Presentation 1999/10/25
Analysis of Japanese Compound Words Based on Rich Lexical Knowledge
Koichi Takeuchi, Kiyoko Uchiyama, Masaharu Yoshioka, Kyo Kageura, Teruo Koyama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) It is difficult problem to know how to prepare lexical knowledge in order to analyze Japanese compound words. In this paper, we analyze technical terms that consist of two verbal nouns by means of the rich lexical knowledge that are a level ordering assumption, an argument structure and a lexical conceptual structure used on morphology or syntax. Our analysis of compound words aims to reveal the relations between the constituent words of compound words. From the results, our method can explain some parts of phenomena of the impossible compound words and the conversion of verbal noun into noun in compound words. The lexical knowledge we have assumed is aimed at describing the details of verbal nouns. While analyzing verbal nouns, we also clarify how to describe the lexical knowledge of noun words.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Argument Structure / Case / Lexical Conceptual Structure / Analysis of Compound Words
Paper # NLC99-20
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Conference Information
Committee NLC
Conference Date 1999/10/25(1days)
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Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analysis of Japanese Compound Words Based on Rich Lexical Knowledge
Sub Title (in English)
Keyword(1) Argument Structure
Keyword(2) Case
Keyword(3) Lexical Conceptual Structure
Keyword(4) Analysis of Compound Words
1st Author's Name Koichi Takeuchi
1st Author's Affiliation Dept. R&D, National Center for Science Information Systems()
2nd Author's Name Kiyoko Uchiyama
2nd Author's Affiliation Dept. R&D, National Center for Science Information Systems
3rd Author's Name Masaharu Yoshioka
3rd Author's Affiliation Dept. R&D, National Center for Science Information Systems
4th Author's Name Kyo Kageura
4th Author's Affiliation Dept. R&D, National Center for Science Information Systems
5th Author's Name Teruo Koyama
5th Author's Affiliation Dept. R&D, National Center for Science Information Systems
Date 1999/10/25
Paper # NLC99-20
Volume (vol) vol.99
Number (no) 387
Page pp.pp.-
#Pages 8
Date of Issue