DocumentCode
166179
Title
A modified technique for Word Sense Disambiguation using Lesk algorithm in Hindi language
Author
Sawhney, Radhike ; Kaur, Amardeep
Author_Institution
Chandigarh Univ., Chandigarh, India
fYear
2014
fDate
24-27 Sept. 2014
Firstpage
2745
Lastpage
2749
Abstract
Word Sense Disambiguation (WSD) is a key factor in written and verbal communication of natural language processing. It is a method of selecting the appropriate sense of an ambiguous word in the given context. This paper aims at determining the correct sense of the given ambiguous word in Hindi language. A modified Lesk approach is used which uses the concept of dynamic context window. Dynamic context window is the number of left and right words of ambiguous word. The basic assumption of this approach is that the target word which has same meaning must have a common topic in its neighbourhood. Furthermore the improvement in precision shows that the proposed algorithm gives better results than the previous approaches which uses fixed size context window.
Keywords
natural language processing; Hindi language; WSD; ambiguous word sense; common topic; dynamic context window; fixed size context window; left words; modified Lesk approach; natural language processing; precision improvement; right words; target word; verbal communication; word sense disambiguation; written communication; Context; Dictionaries; Heuristic algorithms; Knowledge based systems; Natural language processing; Semantics; Training; Hindi language disambiguation; Lesk; Natural Language Processing; WSD Lesk approach;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
Conference_Location
New Delhi
Print_ISBN
978-1-4799-3078-4
Type
conf
DOI
10.1109/ICACCI.2014.6968470
Filename
6968470
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