A Word Sense Disambiguation System Using Modified Naive Bayesian Algorithms for Indonesian Language

Abstract

It is common that a word in any natural language has often more than one meaning/sense.A word sense disambiguation(WSD)system is designed to determine which one of the senses of a polysemous word is invoked in a particular context around the word.We propose methods to disambiguate senses of polysemous words by using Naive Bayesian classifier method.A few sets of experiment data were taken from Kompas daily newspaper homepage and used for the system construction.We modified the original algorithm of Naive Bayesian method to apply it to the Indonesian language analysis.The experiments showed that our system achieved good accuracies(73-99%).

Speech Recognition and Meaning Interpretation: Towards Disambiguation of Structurally Ambiguous Spoken Utterances in Indonesian

“…A number of attempts have also been made to address the issue of ambiguity in Indonesian, particularly in the text domain. With regard to wordsense disambiguation, several studies have been conducted (Uliniansyah and Ishizaki, 2006;Faisal et al, 2018;Mahendra et al, 2018). Nevertheless, research on structural ambiguity resolution, especially in speech, is far less common, and there is a notable gap in this area.…”