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Authors: Takuya Fukuda and Takao Miura

Affiliation: Hosei University, Japan

ISBN: 978-989-8111-66-1

Keyword(s): Word Segmentation, Hidden Markov Models, Markov Chain Monte Carlo (MCMC) method.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Machine Learning ; Natural Language Processing ; Pattern Recognition ; Soft Computing ; Symbolic Systems

Abstract: It is well-known that Japanese has no word boundary, so that we should think about how to separate each sentence into words by means of morphological analysis or some other word segmentation analysis. It is said, however, that the separation depends on domain specific rules. The author have proposed a sophisticated word separation method based on Conditional Random Fields (CRF). Unfortunately we need a huge amount of test corpus in application domains as well as computation time for learning. In this investigation, we propose a new approach to obtain test corpus based on Markov Chain Monte Carlo (MCMC) method, by which we can obtan efficient Markov model for segmentation.

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Paper citation in several formats:
Fukuda T.; Miura T. and (2009). WORD SEGMENTATION BASED ON HIDDEN MARKOV MODEL USING MARKOV CHAIN MONTE CARLO METHOD.In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8111-66-1, pages 123-129. DOI: 10.5220/0001666501230129

@conference{icaart09,
author={Takuya Fukuda and Takao Miura},
title={WORD SEGMENTATION BASED ON HIDDEN MARKOV MODEL USING MARKOV CHAIN MONTE CARLO METHOD},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2009},
pages={123-129},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001666501230129},
isbn={978-989-8111-66-1},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - WORD SEGMENTATION BASED ON HIDDEN MARKOV MODEL USING MARKOV CHAIN MONTE CARLO METHOD
SN - 978-989-8111-66-1
AU - Fukuda, T.
AU - Miura, T.
PY - 2009
SP - 123
EP - 129
DO - 10.5220/0001666501230129

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