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Word classification and hierarchy using co-occurrence word information

机译：使用共现单词信息的单词分类和层次

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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. (C) 2003 Elsevier Ltd. All rights reserved.
机译：随着近年来计算机的发展，可以高速计算复杂的高级处理。此外，在自然语言处理（NLP）系统中使用了许多语言知识来改进该系统。因此，自然语言处理系统中共现单词信息的必要性进一步增加，并且使用共现单词信息进行了各种研究。此外，在自然语言处理中，字典是必要且必不可少的，因为整个系统的能力由字典的数量和质量控制。在本文中，描述了共现单词信息在自然语言处理系统中的重要性。描述了同现词（接收词）和同现频率的分类技术，并按层次表示分类组。此外，本文提出了一种用于自动构建系统和完整同义词库的技术。验证了该系统的实验测试操作和提议技术的有效性。 （C）2003 Elsevier Ltd.保留所有权利。

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