This paper is published in Volume 4, Issue 7, 2019
Area
Computer Science and Technology
Author
Hnin Yu Yu Win
Co-authors
Htwe Htwe Pyone
Org/Univ
University of Computer Studies, Taungoo, Myanmar, Myanmar (Burma)
Pub. Date
22 July, 2019
Paper ID
V4I7-1141
Publisher
Keywords
Ambiguous Word, WSD, WordNet

Citationsacebook

IEEE
Hnin Yu Yu Win, Htwe Htwe Pyone. Tanimoto coefficient based Word Sense Disambiguation, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARnD.com.

APA
Hnin Yu Yu Win, Htwe Htwe Pyone (2019). Tanimoto coefficient based Word Sense Disambiguation. International Journal of Advance Research, Ideas and Innovations in Technology, 4(7) www.IJARnD.com.

MLA
Hnin Yu Yu Win, Htwe Htwe Pyone. "Tanimoto coefficient based Word Sense Disambiguation." International Journal of Advance Research, Ideas and Innovations in Technology 4.7 (2019). www.IJARnD.com.

Abstract

In many NLP applications such as machine translation, content analysis, and information retrieval, Word Sense Disambiguation (WSD) is an important technique. Word sense disambiguation is the essence of communication in a natural language. WSD process is useful for automatically identifying the correct meaning of an ambiguous word in the sentence or the query when it has multiple meanings. So, this system proposes as the Tanimoto coefficient based word sense disambiguation system to increase the precision of the NLP application. This system provides additional semantic as conceptually related words with the help of glosses to each keyword in the inputted sentence by disambiguating their meanings. This system uses the WordNet as the lexical resource that encodes concepts of each term.