Exploring Synonymy: Artificial Intelligence's Computational Analysis of its Relationships with Other Lexical Systems

• Published in: 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) pp. 1 - 6
• Main Authors: Yuldashevna, Usmanova Saliha, Abduzugurovna, Vokhidova Nigora, Ismoilovna, Toshbekova Dilorom, Yuldashevna, Khaidarova Gulbakhor, Ananth, Christo, Kumar, T.Ananth
• Format: Conference Proceeding
• Language: English
• Published: IEEE 09-05-2024
• Subjects: Complex networks; Computational linguistics; Linguistic; Linguistics; Natural language processing; Natural Language Processing (NLP); Organizations; Semantics; Synonymy; Writing
• ISBN: 9798350389432
• DOI: 10.1109/ACCAI61061.2024.10602367

By employing natural language processing (NLP) methodologies, this article explores the complex network of synonyms present in the human language. The objective is to decipher the intricacies of this web. Synonymy, an essential element of the lexical paradigm, is examined in conjunction with ambiguity, word formation, antonymy, and the application of natural language processing (NLP) algorithms to assess the interplay among these components. In an effort to establish a connection between computational linguistics and linguistic theory, the author explicates a range of criteria that can be applied to the identification of synonyms via computational analysis. The research centers on functional grammatical synonymy and employs natural language processing tools to differentiate between synonymic paradigms and examine their structural dynamics. This study illuminates the subtle interchangeability and contextual neutrality of synonymous expressions through the mapping of systemic relationships between synonyms and semantic fields. By utilizing natural language processing (NLP), this inquiry offers fresh perspectives on the complex characteristics of synonymy, thus enhancing our comprehension of the structure and application of language.