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Authors: Takumi Sonoda and Takao Miura

Affiliation: HOSEI University, Japan

ISBN: 978-989-8565-59-4

Keyword(s): Collocation, Co-occurrences, Feature Selection, Natural Language Processing.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Human Factors ; Human-Computer Interaction ; Interface Design ; Natural Language Interfaces to Intelligent Systems ; Physiological Computing Systems

Abstract: In this investigation, we discuss a computational approach to extract collocation based on both data mining and statistical techniques. We extend n-grams consisting of independent words and that we take frequencies on them after filtering on colligation. Then we apply statistical filters for the candidates, and compare these feature selection methods in statistical learning with each other. Five methods are evaluated, including term frequency (TF), Pairwise Mutual Information (PMI), Dice Coefficient(DC), T-Score (TS) and Pairwise Log-Likelihood ratio (PLL).We found PMI, MC and TS the most effective in our experiments. Using these we got 88 percent accuracy to extract collocation.

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Paper citation in several formats:
Sonoda, T. and Miura, T. (2013). Mining Japanese Collocation by Statistical Indicators.In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-59-4, pages 381-388. DOI: 10.5220/0004397503810388

@conference{iceis13,
author={Takumi Sonoda. and Takao Miura.},
title={Mining Japanese Collocation by Statistical Indicators},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2013},
pages={381-388},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004397503810388},
isbn={978-989-8565-59-4},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Mining Japanese Collocation by Statistical Indicators
SN - 978-989-8565-59-4
AU - Sonoda, T.
AU - Miura, T.
PY - 2013
SP - 381
EP - 388
DO - 10.5220/0004397503810388

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