STAGES OF FORMATION AND DEVELOPMENT OF AI-BASED DICTIONARIES
DOI:
https://doi.org/10.5281/zenodo.18711908Keywords:
AI lexicography, computational linguistics, neural dictionaries, corpus linguistics, semantic modeling, comparative lexicography, multimodal discourse.Abstract
The rapid development of artificial intelligence has significantly transformed modern lexicography. AI-based dictionaries represent a new stage in the evolution of dictionary compilation, where traditional lexicographic principles intersect with computational linguistics, corpus technologies, and neural language modeling. This article investigates the historical formation, theoretical foundations, and developmental stages of AI-based dictionaries from a comparative linguistic perspective. The study identifies four major stages: rule-based lexicographic automation, corpus-driven digital lexicography, statistical and neural modeling integration, and adaptive multimodal AI lexicography. Special attention is given to the transformation of semantic representation, cross-cultural equivalence, and the role of machine learning in redefining dictionary microstructure and macrostructure. The analysis incorporates both international and Uzbek scholarly traditions in terminology and lexicography. The findings demonstrate that AI-based dictionaries are not merely digital replications of printed lexicons but dynamic semantic systems capable of contextual adaptation, though still vulnerable to cultural and pragmatic reduction.
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