WordNet-based Computation of Semantic Similarity Between Two Vietnamese Nouns

Trang Thi My Phan (), An Thi Duong () and Phuong Thi Minh Tran ()
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Trang Thi My Phan: Saigon Technology University, Ho Chi Minh City, Vietnam.
An Thi Duong: University of Science, Vietnam National University Ho Chi Minh City, Vietnam.
Phuong Thi Minh Tran: University of Social Sciences and Humanities, Vietnam National University Ho Chi Minh City, Vietnam.

Technium Social Sciences Journal, 2023, vol. 43, issue 1, 532-545

Abstract: This study aimed to measure the semantic distance between Vietnamese nouns to determine their similarities and differences in terms of semantics. The study utilized a dataset of 1000 randomly selected noun pairs from the Vietnamese WordNet and applied different semantic distance measurement formulas, such as Path-length, Leacock & Chodorow, Wu & Palmer, Resnik, Lin, and Jiang-Conrath measures. The results showed that the Resnik measure is suitable for evaluating noun similarity among primitive concepts of the same class and for measuring proximity between two classes of primitive concepts. On the other hand, the Leacock & Chodorow measure is appropriate for measuring the semantic distance between nouns belonging to two distant classes of primitive concepts. The methods used in this study have various potential applications in different fields of linguistics, such as determining synonyms, identifying semantically similar words, defining lexical-semantic fields, and detecting plagiarism.

Keywords: Semantic distance; Vietnamese nouns; WordNet; similarity measurement; synonyms (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:tec:journl:v:43:y:2023:i:1:p:532-545

DOI: 10.47577/tssj.v43i1.8859

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