期刊名称：Journal of Emerging Technologies in Web Intelligence
印刷版ISSN：1798-0461
出版年度：2013
卷号：5
期号：4
页码：354-360
DOI：10.4304/jetwi.5.4.354-360
语种：English
出版社：Academy Publisher
摘要：Word Sense Disambiguation is a challenging technique in Natural Language Processing. There are some words in the natural languages which can cause ambiguity about the sense of the word.WSD identifies the correct sense of the word in a sentence or a document. The paper summarizes about the history of WSD. We have discussed about the knowledge - based and machine learning – based approaches for WSD. Various supervised learning and unsupervised learning techniques have been discussed. WSD is mainly used in Information Retrieval (IR), Information Extraction (IE), Machine Translation (MT), Content Analysis, Word Processing, Lexicography and Semantic Web. Finally, we have discussed about WSD for Indian languages (Hindi, Malayalam, and Kannada) and other languages (Chinese, Mongolian, Polish, Turkish, English, Myanmar, Arabic, Nepali, Persian, Dutch, and Italian).
关键词：Word Sense Disambiguation (WSD);Natural Language Processing (NLP);supervised;unsupervised;knowledge;information retrieval;information extraction;machine translation;context;ambiguity;polysemous words.
