Word Sense Disambiguation of Bengali Words using FP-Growth Algorithm

Kaysar, Mohammad Shibli; Khaled, Md. Asif Bin; Hasan, Mahady; Khan, Mohammad Ibrahim

dc.contributor.author	Kaysar, Mohammad Shibli
dc.contributor.author	Khaled, Md. Asif Bin
dc.contributor.author	Hasan, Mahady
dc.contributor.author	Khan, Mohammad Ibrahim
dc.date.accessioned	2021-10-25T05:59:29Z
dc.date.available	2021-10-25T05:59:29Z
dc.date.issued	2019-02-07
dc.identifier.isbn	978-1-5386-9111-3
dc.identifier.uri	http://103.99.128.19:8080/xmlui/handle/123456789/321
dc.description.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	en_US
dc.language.iso	en_US	en_US
dc.publisher	Faculty of Electrical and Computer Engineering, CUET	en_US
dc.relation.ispartofseries	ECCE;
dc.subject	natural language processing	en_US
dc.subject	word sense disambiguation	en_US
dc.subject	fp-growth algorithm	en_US
dc.subject	apriori algorithm	en_US
dc.subject	association rule	en_US
dc.title	Word Sense Disambiguation of Bengali Words using FP-Growth Algorithm	en_US
dc.title.alternative	International Conference on Electrical, Computer and Communication Engineering (ECCE-2019)	en_US
dc.type	Article	en_US