Word Sense Disambiguation for English Language

Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/6221

Full metadata record

DC Field	Value	Language
dc.contributor.author	Vasoya, Parth	-
dc.date.accessioned	2015-09-26T05:20:48Z	-
dc.date.available	2015-09-26T05:20:48Z	-
dc.date.issued	2015-06-01	-
dc.identifier.uri	http://hdl.handle.net/123456789/6221	-
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. In this thesis all the approaches are discussed and accuracy and efficiency of Hyperlex technique of unsupervised approach is the main aim of this dissertation. The algorithm is very accurate but the scalability is the issue. Easy adaptability with high accuracy is motive.	en_US
dc.publisher	Institute of Technology	en_US
dc.relation.ispartofseries	13MCEC30;	-
dc.subject	Computer 2013	en_US
dc.subject	Project Report 2013	en_US
dc.subject	Computer Project Report	en_US
dc.subject	Project Report	en_US
dc.subject	13MCE	en_US
dc.subject	13MCEC	en_US
dc.subject	13MCEC30	en_US
dc.title	Word Sense Disambiguation for English Language	en_US
dc.type	Dissertation	en_US
Appears in Collections:	Dissertation, CE

Files in This Item:

File	Description	Size	Format
13MCEC30.pdf	13MCEC30	760.6 kB	Adobe PDF	View/Open

IR @ Nirma University