DocumentCode :
3026940
Title :
A comparative analysis of Hindi word sense disambiguation and its approaches
Author :
Sarika ; Sharma, Dilip Kumar
Author_Institution :
Dept. of Comput. Eng. & Applic., GLA Univ., Mathura, India
fYear :
2015
fDate :
15-16 May 2015
Firstpage :
314
Lastpage :
321
Abstract :
Hindi language is written and spoken by majority of people in India. Like other natural languages, Hindi is also an ambiguous language which creates obstacle in usage of information technology properly. To use Hindi language efficiently and effectively on web, we require a tool to remove ambiguity from a single word, or from all words, called word sense disambiguation (WSD). In this paper we introduce the reader to the brief introduction of task, resources required for disambiguation, applications, brief review of previous works. We also compare and investigate different techniques and algorithms under these approaches which can be used for Hindi Word Sense Disambiguation (HWSD) task and finally, some open problems, conclusion and future directions are discussed on the basis of these comparisons.
Keywords :
Internet; natural language processing; HWSD task; Hindi language; Hindi word sense disambiguation; India; Web; information technology; natural languages; spoken languages; Accuracy; Classification algorithms; Context; Dictionaries; Semantics; Thesauri; Training; Word sense disambiguation; WordNet; ambiguity; natural language processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication & Automation (ICCCA), 2015 International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-8889-1
Type :
conf
DOI :
10.1109/CCAA.2015.7148396
Filename :
7148396
Link To Document :
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