COMPARATIVE ANALYSIS OF LEXICOGRAPHICAL RESOURCES AND METHODS IN A TECHNICAL CONTEXT

T.V. Pitirimova, Kristina Arabaji, A.A. Bogdanova, I. Sofina

2025

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.48371/phils.2025.3.78.019
Data confidence 70 medium
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Abstract

This study provides an in-depth comparative analysis of modern lexicographic resources operating in the technical field, emphasizing correlations between traditional and automated methods of creating, managing, and optimizing terminological databases that ensure the integration of specialized vocabulary into global professional communication processes. Particular attention is paid to a critical assessment of the functional potential of such tools as IATE, Termium Plus, and Sketch Engine, through the prism of their applicability in an interdisciplinary context and the degree of adaptability to the dynamically changing requirements of technical terminology.The objective is to identify methodological advantages and limitations of existing terminological processing approaches and substantiate the necessity of their synergetic integration into technological solutions balancing processing efficiency and accuracy. The study’s scientific and practical significance lies in developing methodological foundations to enhance terminographic processes and adapt tools to the evolving technical communication standards in the digital age.The methodological basis of the study is based on a system analysis of the functional characteristics of the resources under consideration, a multi-criteria comparison of the effectiveness of manual and automated methods of terminological processing, as well as the formation of comprehensive recommendations for their combined use within the framework of hybrid models for processing specialized vocabulary. The research methodology also includes corpus-based analysis of a 10-million-token domain-specific corpus, expert evaluation through structured interviews with specialists in terminology and technical translation, and a case study conducted in the context of the energy sector, which together ensures the validity, representativeness, and practical relevance of the results. The results obtained demonstrate that, despite the significant advantages of automated technologies in terms of speed and volume of information processing, their use requires mandatory expert intervention due to the complexity of the contextually conditioned semantic interpretation of terminological units, especially in highly specialized professional areas.