| 基于文本挖掘的搭配词典自动架构探讨 |
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| 引用本文： | 张辉,薛贵荣.基于文本挖掘的搭配词典自动架构探讨[J].上海工程技术大学学报,2004,18(4):323-326. |
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| 作者姓名： | 张辉 薛贵荣 |
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| 作者单位： | 1. 上海工程技术大学电子电气工程学院,上海,200065
2. 扬州大学计算机科学系,扬州,225009 |
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| 基金项目： | 上海工程技术大学青年基金资助项目(2003Q03) |
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| 摘 要： | 研究词语搭配的关系对于自然语言处理有很大的帮助。目前对计算机用的搭配词典是用人工方法实现的，它由人工进行维护，有更新慢、收藏的词少等缺点。为此，利用文本挖掘技术对大规模语料库进行分析，挖掘词语搭配的深层关系，在此基础上自动建立词语搭配词典，实验结果显示该方法是有效的。
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| 关 键 词： | 文本挖掘 互信息 关联规则挖掘 搭配词典 |
| 文章编号： | 1009-444X(2004)04-0323-04 |
| 修稿时间： | 2004年3月27日 |
Automatic Construction of Collocations Dictionary Based on Text Mining |
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| ZHANG Hui,XUE Gui-rong.Automatic Construction of Collocations Dictionary Based on Text Mining[J].Journal of Shanghai University of Engineering Science,2004,18(4):323-326. |
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| Authors: | ZHANG Hui XUE Gui-rong |
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| Affiliation: | ZHANG Hui~1,XUE Gui-rong~2 |
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| Abstract: | A collocations dictionary is the useful component to many natural language and spoken language processing application such as grammar checking, text-speech conversion and machine translation. Currently The collocations dictionary is constructed artificially, firstly it may not be updated frequently and many lexicon entries may be not available. Secondly to construct a dictionary may need lots of human resources. In this paper, text-mining approach for constructing a collocations dictionary is surveyed. The main purpose is to enable cheap and quick acquisition of a collocations dictionary from a large text corpus. Experimental results show that the approach is effective and suitable. |
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| Keywords: | text mining mutual information association rule mining collocations dictionary |
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