Word classification and hierarchy using co-occurrence word information |
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| Authors: | Kazuhiro Morita El-Sayed Atlam Masao Fuketra Kazuhiko Tsuda Masaki Oono Jun-ichi Aoe |
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| Institution: | Department of Information Science and Intelligent Systems, University of Tokushima, Tokushima 770-8506, Japan |
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| Abstract: | By the development of the computer in recent years, calculating a complex advanced processing at high speed has become possible. Moreover, a lot of linguistic knowledge is used in the natural language processing (NLP) system for improving the system. Therefore, the necessity of co-occurrence word information in the natural language processing system increases further and various researches using co-occurrence word information are done. Moreover, in the natural language processing, dictionary is necessary and indispensable because the ability of the entire system is controlled by the amount and the quality of the dictionary. In this paper, the importance of co-occurrence word information in the natural language processing system was described. The classification technique of the co-occurrence word (receiving word) and the co-occurrence frequency was described and the classified group was expressed hierarchically. Moreover, this paper proposes a technique for an automatic construction system and a complete thesaurus. Experimental test operation of this system and effectiveness of the proposal technique is verified. |
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| Keywords: | Natural language processing Co-occurrence word information Co-occurrence frequency Hierarchically |
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