Word Sense Disambiguation of Bengali Words using FP-Growth Algorithm
Date
7-Feb-2019
Journal Title
Journal ISSN
Volume Title
Publisher
Faculty of Electrical and Computer Engineering, CUET
Abstract
Word Sense Disambiguation (WSD) is the
task of determining the specific meaning of an ambiguous
word according to the context. In the realm of
natural language processing, WSD is an open problem,
and its development can significantly assist in humanlevel
machine translation. In this paper, we have proposed
a system for Bengali Word Sense Disambiguation
through the FP-Growth algorithm. Moreover, we have
also implemented the Apriori algorithm and presented
an analysis on both of them to explain how the FPGrowth
algorithm outperforms the Apriori algorithm
performing Bengali Word Sense Disambiguation. Furthermore,
In the testing phase we have found that for
80% of the test sentences, our proposed method can
retrieve the exact meaning of an ambiguous word
task of determining the specific meaning of an ambiguous
word according to the context. In the realm of
natural language processing, WSD is an open problem,
and its development can significantly assist in humanlevel
machine translation. In this paper, we have proposed
a system for Bengali Word Sense Disambiguation
through the FP-Growth algorithm. Moreover, we have
also implemented the Apriori algorithm and presented
an analysis on both of them to explain how the FPGrowth
algorithm outperforms the Apriori algorithm
performing Bengali Word Sense Disambiguation. Furthermore,
In the testing phase we have found that for
80% of the test sentences, our proposed method can
retrieve the exact meaning of an ambiguous word
Description
Keywords
natural language processing, word sense disambiguation, fp-growth algorithm, apriori algorithm, association rule