An Analysis of the Vietnamese Dictionary from a Computational Linguistics Perspective.

Dictionaries are essential resources for exploring a language's lexicon, providing insights into word formation, usage, and linguistic relationships. With the advancement of computational linguistics, applying statistical methods to dictionary data enables researchers to discover the lexical charact...

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Publicado en:Pertanika Journal of Social Sciences & Humanities Vol. 34; no. 2; pp. 995 - 1013
Autores principales: My Phan, Trang Thi, Van Ba Phan, Hai, Do, Tri Quoc, Dinh, Dien, Minh Tran, Phuong Thi
Formato: Artículo
Publicado: Universiti Putra Malaysia Apr2026
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Acceso en línea:Ver este registro en EBSCOhost
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        atl: An Analysis of the Vietnamese Dictionary from a Computational Linguistics Perspective.
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          My Phan, Trang Thi
          Van Ba Phan, Hai
          Do, Tri Quoc
          Dinh, Dien
          Minh Tran, Phuong Thi
        affil:
          Faculty of Literature and Linguistics, University of Social Sciences and Humanities (USSH-VNUHCM) - HCMC National University, 10-12 Đinh Tiên Hoàng street, Sài Gòn ward, 70000 Ho Chí Minh city, Vietnam
          Faculty of Fundamental Sciences, Saigon Technology University, 180 Cao Lo street, Chánh Hung ward, 70000 Ho Chí Minh city, Vietnam
          Computational Linguistics Center (CLC), University of Science (US-VNUHCM) - HCMC National University, 227 Nguyen Văn Cu street, Cho Quán ward, 70000 Ho Chí Minh city, Vietnam
          Faculty of English Linguistics and Literature, University of Social Sciences and Humanities (USSH-VNUHCM) - HCMC National University, 10-12 Đinh Tiên Hoàng street, Sài Gòn ward, 70000 Ho Chí Minh city, Vietnam
      su:
        Computational linguistics
        Polysemy
        Grammatical categories
        Natural language processing
        Lexicology
        Distribution (Probability theory)
        Vietnamese language
      sug:
        subj:
          Computational linguistics
          Polysemy
          Grammatical categories
          Natural language processing
          Lexicology
          Distribution (Probability theory)
          Vietnamese language
      keyword:
        letter distribution
        part-of-speech distribution
        polysemy coefficient
        Vietnamese dictionary
      ab: Dictionaries are essential resources for exploring a language's lexicon, providing insights into word formation, usage, and linguistic relationships. With the advancement of computational linguistics, applying statistical methods to dictionary data enables researchers to discover the lexical characteristics of a language. This study explored the Vietnamese Dictionary from a computational linguistics perspective, applying statistical techniques like frequency analysis, part-of-speech (POS) distribution analysis, multi-POS (words that can function as more than one part of speech) coefficient analysis, and polysemy coefficient analysis to investigate letter distribution, POS characteristics, and polysemy levels. The findings indicate that the most frequently occurring letters are n, h, a, i, t, g, c, and u, while letters like q, x, d, v, e, s, ă, k, and r occur less frequently. Letters like t, c, n, đ, b, l, and h occur most often in initial positions. Nouns account for the largest proportion of lexical entries (44.7%), followed by verbs (31.58%) and adjectives (21.22%). The multi-POS coefficient analysis shows that 90.11% of words have one part of speech, 8.84% can function in two, and fewer than 1% span three or more, highlighting the low syntactic flexibility of the Vietnamese lexicon in terms of POS variation. Polysemy coefficient analysis indicates that particles, pronouns, and verbs exhibit the highest degrees of polysemy. These findings reveal the distributional characteristics of the Vietnamese lexicon through statistical analysis, providing a valuable foundation for further research in lexical semantics, electronic dictionaries, part-of-speech tagging tools, and natural language processing applications.
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    language: English
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