期刊名称：International Journal of Computer Applications and Information Technology
印刷版ISSN：2278-7720
出版年度：2014
卷号：7
期号：2
页码：152-156
出版社：Mahadev Educational Society
摘要：Ambiguous and unknown words are found in every language. Ambiguous words are the words having different meaning in different sentences depending upon the context of the sentence. Assigning the correct word class to these ambiguous words is the fundamental task in almost all the NLP applications. A lot of work has been done on this and a lot of work is still to be done. Many statistical and rule based techniques has been applied to assign the correct word class to the word having ambiguous word class. Most commonly used statistical techniques are HMM (Hidden Markov Model), SVM (Support Vector Machine), ME (Maximum Entropy), CRF (Conditional Random Field) and N-gram based techniques. In this research paper a bigram technique has been discussed to assign the correct word class to the ambiguous and unknown words of Punjabi language. A tag set proposed by TDIL has been used to assign the correct word class to the ambiguous and unknown words
关键词：Ambiguous words; word class; Unknown words; Bi-gram technique; TDIL proposed Punjabi tag set
