THEMATIC CATEGORIZATION OF LEXICON: A COGNITIVE- COMPUTATIONAL ANALYSIS ACROSS SELECTED LANGUAGES
DOI:
https://doi.org/10.55640/Keywords:
thematic categorization, lexical semantics, cognitive linguistics, computational semantics, cross-linguistic analysis, corpus-based research, polysemyAbstract
The present research critically examines the challenges inherent in establishing thematic categorization across differing lexicons. Taking a cognitive-computational perspective, this study interrogates both the computational methodologies and cognitive frameworks that underpin contemporary approaches to lexical semantics. By analyzing selected languages this paper evaluates cross-linguistic variability and commonalities in thematic categorization. Drawing on theoretical frameworks from cognitive linguistics and computational semantics, we assess the efficacy of various data-driven and corpus-based approaches, and highlight issues related to polysemy, context-dependence, and cognitive salience in thematic organization. Utilizing diverse datasets and validated analytical tools, the research identifies persistent challenges and proposes integrative methodologies to bridge theoretical divides.
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References
1.Evans, V., Green, M. (2006). Cognitive Linguistics: An Introduction. Edinburgh University Press.
2.Pustejovsky, J. (1995). The Generative Lexicon. MIT Press.
3.Manning, C. D., Schütze, H. (1999). Foundations of Statistical Natural Language Processing. MIT Press.
4.Wierzbicka, A. (1999). Emotions Across Languages and Cultures: Diversity and Universals. Cambridge University Press.
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