Automatic Construction of Collocation Dictionary Based on Text Mining
A collocation dictionary is a useful component to many natural language and spoken language processing application,such as grammar checking,text-speech conversion and machine translation.Currently the collocation dictionary is constructed by human.Firstly,it may not be updated frequently and many lexicon entries may be not available.Secondly,to construct such a dictionary may need lots of human resources.In this paper,a data-mining approach for constructing a collocation dictionary is surveyed.The main purpose is to enable cheap and quick acquisition of a collocation dictionary from a large-scale text corpus.Experimental results show the approach is effective and suitability.
text mining mutual information association rule mining collocation dictionary
Hui Zhang Yongqi Wang
Department of Computer Science, Shanghai University of Engineering Science, Shanghai, China
国际会议
西安
英文
1243-1247
2012-08-24（万方平台首次上网日期，不代表论文的发表时间）