• LAVANYA SHREE.E
• Dr. (Mrs)V.VIDYAPRIYA

ABSTRACT Word sense Disambiguation (WSD) is the capability to discover the meaning of words in context in a computational way. WSD is an important but challenging technique within the region of natural language processing (NLP). Human language is ambiguous, so several words are understood in multiple ways depending on the context within which they occur. Hundreds of WSD algorithms are available, however much less work has been carried out in regard of choosing the optimal WSD algorithms. This paper focuses on different approaches of WSD such as supervised, unsupervised, semi supervised and knowledge based approaches. This paper will provide the users with widespread knowledge for selecting WSD algorithms for their specific applications or for further variation. This paper focuses on different approaches for solving the ambiguity of words.

Word Sense Disambiguation (WSD), Natural Language Processing (NLP)

"A SURVEY ON WORD SENSE DISAMBIGUATION APPROACHES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.180-183, August-2018, Available :http://www.jetir.org/papers/JETIR1808321.pdf

"A SURVEY ON WORD SENSE DISAMBIGUATION APPROACHES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp180-183, August-2018, Available at : http://www.jetir.org/papers/JETIR1808321.pdf