Goal: This research aims to explore the central role of language in the information retrieval process. It seeks to analyze the impact of syntactic structures, semantic features, and language differences between users and search systems on the accuracy and relevance of retrieval results. The study aims identify language barriers in translating information needs search logic and propose solutions to enhance convergence between user language and information retrieval.


Method: The data for this study was collected through an-descriptive approach, analyzing 00 scientific and specialized documents from information databases. These documents were selected on scientific quality, topical relevance, content diversity criteria. They were thenatively and quantitatively analyzed using syntactic lexical, and semantic indicators.
Findings: The research results that clear syntactic structures and precise word in user queries enhance the accuracy of systems. A significant portion of searchefficiencies stems from the gap between user language and structured system language. analysis and bridging the gap between natural structured language are key factors in information quality. The findings also suggested that analysis in information retrieval can benefit from language perspectives and meaning application theory.
Conclusion: This study has that language is not only a tool for expressing information needs but also a fundamental in shaping, interpreting, and processing. Simultaneously considering the syntactic, semantic and contextual dimensions of queries and improving mechanisms between natural and search languages can enhance the accuracy and efficiency of retrieval.