THE ROLE AND FUNCTIONS OF CONTEXTUAL DICTIONARIES IN ALGORITHMIC PROCESSING OF ENGLISH FILES
Keywords:
Contextual dictionaries, corpus linguistics, distributional semantics, contextual semantics, cognitive linguistics, pragmatics, structuralism, NLP, word embeddings, BERT, WordNet, semantic networks, lexicography, artificial intelligenceAbstract
Contextual dictionaries represent a major evolution in lexicography and computational linguistics by shifting from static word definitions to dynamic, context-sensitive meaning representation. Grounded in a variety of linguistic and computational theories—including contextual semantics, corpus linguistics, distributional semantics, pragmatics, and cognitive linguistics—these dictionaries analyze words based on their real-world usage and situational context. Unlike traditional dictionaries, contextual dictionaries adapt to changing language patterns and provide more accurate interpretations of polysemous, idiomatic, and figurative language. This paper explores the theoretical foundations of contextual dictionaries, tracing their development from structuralist linguistics to contemporary neural language models. It also highlights their applications in natural language processing, translation, sentiment analysis, and information retrieval, while addressing their role in shaping the future of language technology through multimodal and deep learning integration.
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