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ThinkMind // International Journal On Advances in Internet Technology, volume 7, numbers 3 and 4, 2014 // View article inttech_v7_n34_2014_4


Dependency Parsing and Its Application using Hierarchical Structure in Japanese Language

Authors:
Kazuki Ono
Kenji Hatano

Keywords: Parsing; Syntax Analysis; Syntax Tree Modeling; Topic Modeling

Abstract:
Conventional Japanese dependency parsing methods are primarily based on the bi-nominal model between phrases, which has a limitation related to the order of phrases. Accordingly, the length of a phrase, which depends on the language dependency, is limited. In this paper, we propose a novel dependency parsing method for Japanese based on an extended hierarchical language model simulated by the hierarchical Pitman-Yor process in order to overcome the abovementioned limitation. We also evaluate the accuracy of the proposed dependency parsing method as well as its practicality to detect the topics of each document. Experimental results show that the proposed method can parse dependencies in long, complex sentences and can allocate topics to each document relatively well compared with the conventional method. Consequently, it can be said that the proposed method is feasible in the research fields of both Japanese dependency parsing and topic modeling.

Pages: 193 to 204

Copyright: Copyright (c) to authors, 2014. Used with permission.

Publication date: December 30, 2014

Published in: journal

ISSN: 1942-2652

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