Skripsi

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

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307004999	T125708	T1257082023	Central Library (REFERENS)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1257082023

Publisher

Indralaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xvi, 94 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.05 07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Jurusan Teknik Informatika
Berkala umum ilmu komputer dan teknik informatika

Specific Detail Info

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Statement of Responsibility

ANUG

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