A Decision Tree Based Word Sense Disambiguation System in Manipuri Language

Advanced Computing An International JournalPublished 31 July 2014Open access

Richard Laishram Singh, Krishnendu Ghosh, Kishorjit Nongmeikapam, Sivaji Bandyopadhyay

DOI10.5121/acij.2014.5403

Citations36

TL;DR

The proposed work is expected to predict the senses of the polysemous words with high accuracy with the help of the suitable knowledge acquisition techniques and conventional positional and context based features are suggested.

Abstract

This paper manifests a primary attempt on building a word sense disambiguation system in Manipuri language.The paper discusses related attempts made in the Manipuri language followed by the proposed plan.A database, consisting of 650 sentences, is collected in Manipuri language in the course of the study.Conventional positional and context based features are suggested to capture the sense of the words, which have ambiguous and multiple senses.The proposed work is expected to predict the senses of the polysemous words with high accuracy with the help of the suitable knowledge acquisition techniques.The system produces an accuracy of 71.75 %.

Keywords

Computer Science

Speech and language processing

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