Word Sense Disambiguation of the English Modal Verb May by Back Propagation Neural Network
This paper studies the word sense disambiguation of English modal verb “may. Based on the analysis of the sense, category of modality and function of “may in different contexts in the training corpus, a model of back propagation neural network for word sense disambiguation of “may is established. It takes the mutual information of epistemic and non-epistemic “may and the verb before and after “may as well as active and passive voice of the sentence as the input vectors. The test to the model shows that the rate for correct disambiguation reaches 78％. This study extends the word sense disambiguation into the level of modality which is a breakthrough in both WSD and linguistic studies.
Word sense disambiguation English modal verb “may BP neural network,corpus
Jianping YU Jian ZHANG
College of Foreign Studies,Yanshan University Qinhuangdao,P.R.of China
国际会议
北京
英文
2008-10-19（万方平台首次上网日期，不代表论文的发表时间）