Measuring Sementic Similarities Between Words For Indian Language

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DC Field	Value	Language
dc.contributor.author	Sheth, Mitul	-
dc.date.accessioned	2016-07-22T08:08:46Z	-
dc.date.available	2016-07-22T08:08:46Z	-
dc.date.issued	2016-06-01	-
dc.identifier.uri	http://hdl.handle.net/123456789/6718	-
dc.description.abstract	Word sense disambiguation is like a model which assigns correct sense to words having multiple meaning as per the context in which they occur. It requires pre-processing like stop-words removal, generation of word vector, POS tagging. One of the main application of this disambiguation is in machine translation and information extraction to get desired output using graph based approach find the local measures.High accuracy in WSD is the motive.	en_US
dc.publisher	Institute of Technology	en_US
dc.relation.ispartofseries	14MCEN24;	-
dc.subject	Computer 2014	en_US
dc.subject	Project Report 2014	en_US
dc.subject	Computer Project Report	en_US
dc.subject	Project Report	en_US
dc.subject	14MCEN	en_US
dc.subject	14MCEN24	en_US
dc.subject	NT	en_US
dc.subject	NT 2014	en_US
dc.subject	CE (NT)	en_US
dc.title	Measuring Sementic Similarities Between Words For Indian Language	en_US
dc.type	Dissertation	en_US
Appears in Collections:	Dissertation, CE (NT)

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