Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/6708
Title: Word Sense Disambiguation for Indian Language
Authors: Popat, Shivang
Keywords: Computer 2014
Project Report 2014
Computer Project Report
Project Report
14MCEN
14MCEN14
NT
NT 2014
CE (NT)
Issue Date: 1-Jun-2016
Publisher: Institute of Technology
Series/Report no.: 14MCEN14;
Abstract: Word sense disambiguation is a part of Natural Language Processing (NLP)and tech- nique to computationally find the correct sense of the ambiguous words using the context in which they occur. It is used in many application like Machine transla- tion, Information Retrieval, Information Extraction,etc. There are many approaches for WSD like supervised, unsupervised,etc. In this thesis all the approaches are dis- cussed and Graph Based Unsupervised approach is applied with global measures for Indian Language using Hindi Word-net. Motive is to find more accuracy and Easy adaptability of WSD for Indian Language .
URI: http://hdl.handle.net/123456789/6708
Appears in Collections:Dissertation, CE (NT)

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