COGNITIVE MECHANISMS OF EVALUATIVE CATEGORIES IN THE AGE OF ARTIFICIAL INTELLIGENCE: A THEORETICAL OVERVIEW
https://doi.org/10.5281/zenodo.15568244
Kalit so‘zlar
cognitive mechanisms, artificial intelligence, evaluative categories, metaphor, frame semantics, prototype theory, NLPAnnotasiya
This article explores the theoretical foundations of evaluative categories in cognitive linguistics, with a focus on metaphor, frame, and prototype mechanisms. It highlights how artificial intelligence, particularly natural language processing tools, enhances our ability to analyze and simulate these cognitive processes. By integrating AI-assisted methods, researchers can uncover patterns in evaluative language across large corpora, revealing how language shapes social values and ideologies.
Foydalanilgan adabiyotlar ro‘yhati
Asqarova, A., & Bobojonova, Sh. (2025). Cognitive Mechanisms of Representing Evaluative Categories. Journal of Philological Sciences.
Baker, P. (2006). Using Corpora in Discourse Analysis. London: Continuum.
Bamman, D., Underwood, T., & Smith, N. A. (2014). A Bayesian Mixed Effects Model of Literary Character. ACL.
Charteris-Black, J. (2005). Politicians and Rhetoric: The Persuasive Power of Metaphor. Basingstoke: Palgrave Macmillan.
Fillmore, C. J. (1982). Frame semantics. In Linguistics in the Morning Calm (pp. 111–137). Seoul: Hanshin Publishing Company.
Kovecses, Z. (2010). Metaphor: A Practical Introduction (2nd ed.). Oxford University Press.
Lakoff, G. (2004). Don't Think of an Elephant! Chelsea Green Publishing.
Lakoff, G., & Johnson, M. (1980). Metaphors We Live By. Chicago: University of Chicago Press.
Rosch, E. (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and Categorization (pp. 27–48). Hillsdale, NJ: Lawrence Erlbaum Associates.
Semino, E., Demjén, Z., & Demmen, J. (2018). An integrated approach to metaphor and framing in cognition, discourse, and practice. Metaphor and Symbol, 33(1), 1–18.
Zhou, X., Mulcaire, G., Yin, P., & Smith, N. A. (2020). Metaphor Detection via Contextualized Probabilistic Reasoning. ACL Findings, 4234–4246.
