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Morpho-syntactic Rules for Detecting Japanese Term Variation: Establishment and Evaluation

Authors :
Christian Jacquemin
Kyo Kageura
Fuyuki Yoshikane
Tsuji Keita
Source :
Journal of Natural Language Processing. 10:3-32
Publication Year :
2003
Publisher :
Association for Natural Language Processing, 2003.

Abstract

In this paper, we describe a rule-based mechanism that detects Japanese term variations from textual corpora. The system operates on the basis of meta-rules that map syntactic and morpho-syntactic variants of terms to the original forms of terms. The framework used here has been successfully applied to such languages as English and French, and we show here that it also works well in detecting Japanese term variants, once we properly take into account specific characteristics of the Japanese language. We also discuss the potential of this work for IR-related applications.

Details

ISSN :
21858314 and 13407619
Volume :
10
Database :
OpenAIRE
Journal :
Journal of Natural Language Processing
Accession number :
edsair.doi...........6fcbd3227e07e824ad73c19049e6a583