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
Link To Document :
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