WORD SENSE DISAMBIGUATION (WSD) PADA KALIMAT BAHASA INDONESIA MENGGUNAKAN ALGORITMA SIMPLIFIED LESK

AKHNI, NURUL and Abdiansah, Abdiansah and Saputra, Danny Matthew (2023) WORD SENSE DISAMBIGUATION (WSD) PADA KALIMAT BAHASA INDONESIA MENGGUNAKAN ALGORITMA SIMPLIFIED LESK. Undergraduate thesis, Sriwijaya University.

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Abstract

The Indonesian language is known to have several words that are commonly recognized for their ambiguous nature, meaning they possess more than one meaning. Word Sense Disambiguation (WSD), a branch of Natural Language Processing (NLP), deals with the challenge of resolving this ambiguity and identifying the precise meaning of a word based on its context. Among the algorithms used for WSD, the Simplified Lesk algorithm stands out as particularly popular. To assess its effectiveness, tests were conducted using the Kamus Besar Bahasa Indonesia (KBBI) as a reference for word definitions, and a dataset of 300 Indonesian sentences containing ambiguous words and their respective meanings as determined by human perception. The research reveals that the configuration of the preprocessing phase plays a crucial role in accurately identifying the intended meaning. After evaluation, the overall accuracy achieved was 58% for the dataset, incorporating preprocessing techniques such as stemming and stopword removal. Keywords: Ambiguous, Word sense disambiguation (WSD), Simplified Lesk

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Ambiguous, Word Sense Disambiguation, Simplified Lesk
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Nurul Akhni
Date Deposited:	04 Aug 2023 04:18
Last Modified:	04 Aug 2023 04:18
URI:	http://repository.unsri.ac.id/id/eprint/125708

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