Let sense bags do talking: Cross lingual word semantic similarity for English and Hindi

Nagvenkar, A.; Pawar, J.D.; Bhattacharyya, P.

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dc.contributor.author	Nagvenkar, A.
dc.contributor.author	Pawar, J.D.
dc.contributor.author	Bhattacharyya, P.
dc.date.accessioned	2016-08-22T09:11:39Z
dc.date.available	2016-08-22T09:11:39Z
dc.date.issued	2016
dc.identifier.citation	Proc. of the 12. Int. Conf. on Natural Language Processing (ICON-2015), Ed. by: Dipti Misra Sharma, Rajeev Sangal, Elizabeth Sherly. IIITM-Kerala, Trivandrum. 2016; 5pp.	en_US
dc.identifier.uri	https://www.cse.iitb.ac.in/~pb/papers/icon15-sense-bag.pdf
dc.identifier.uri	http://irgu.unigoa.ac.in/drs/handle/unigoa/4451
dc.description.abstract	Cross Lingual Word Semantic (CLWS) similarity is defined as a task to find the semantic similarity between two words across languages. Semantic similarity has been very popular in computing the similarity between two words in same language. CLWS similarity will prove to be very effective in the area of Cross Lingual Information Retrieval, Machine Translation, Cross Lingual Word Sense Disambiguation, etc. In this paper, we discuss a system that is developed to compute CLWS similarity of words between two languages, where one language is treated as resourceful and other is resource scarce. The system is developed using WordNet. The intuition behind this system is that, two words are semantically similar if their senses are similar to each other. The system is tested for English and Hindi with the accuracy 60.5 percent precision at 1 and 72.91 percent preci sion at 3.	en_US
dc.publisher	IIITM-Kerala, Trivandrum	en_US
dc.subject	Computer Science and Technology	en_US
dc.title	Let sense bags do talking: Cross lingual word semantic similarity for English and Hindi	en_US
dc.type	Conference article	en_US