A Novel Approach to Semic Analysis

Extraction of Atoms of Meaning to Study Polysemy and Polyreferentiality

Bibliographic Data

ID5900633
AuthorsVanessa Bonato (University of Padua), Giorgio Maria Di Nunzio (0000-0001-9709-6392, University of Padua), Federica Vezzani (0000-0003-2240-6127, University of Padua)
Year2024
Volume9
Issue4
Pages121
Publication date2024-03-27
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLanguages (JOURNAL)
Journal identifiersISSN: 2226-471X • E-ISSN: 2226-471X
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/languages9040121
OpenAlexW4393217670
LanguageEN
References cited29

Semic analysis is a linguistic technique aimed at methodically factorizing the meaning of terms into a collection of minimum non-decomposable atoms of meaning. In this study, we propose a methodology targeted at enhancing the systematicity of semic analysis of medical terminology in order to increase the quality of the creation of the set of atoms of meaning and improve the identification of concepts, as well as enhance specialized domain studies. Our approach is based on: (1) a semi-automatic domain-specific corpus-based extraction of semes, (2) the application of the property of termhood to address the diaphasic and the diastratic variations of language, (3) the automatic lemmatization of semes, and (4) seme weighting to establish the order of semes in the sememe. The paper explores the distinction between denotative and connotative semes, offering insights into polysemy and polyreferentiality in medical terminology

Chromatography · Epistemology · Extraction (chemistry · Linguistics · Meaning (existential · Polysemy · Advanced Text Analysis Techniques · Chemistry · Natural Language Processing Techniques · Philosophy · Semantic Web and Ontologies

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