COMPILATION OF A CORE VOCABULARY FOR SPECIALISED PROFESSIONAL TEXTS USING THE SKETCH ENGINE SOFTWARE FUNCTIONALITIES
DOI:
https://doi.org/10.32782/2522-4077-2025-212-4Keywords:
applied linguistics, corpus, corpus-based research, professional text, core vocabulary, Sketch Engine, CQL universal query languageAbstract
One of the most powerful tools of applied linguistics is corpora, which are created and used in various fields of human activity. Automation of the process of selecting, compiling and analysing text corpora of virtually unlimited size provides new opportunities not only for researchers in the realm of philology, but also for experts who use the data as the basis for successful completion of practical tasks. Thus, corpus-based research has great potential for improving the effectiveness of language teaching, and translation in particular, as it allows for a more accurate and efficient selection of linguistic material in a particular highly specialised field, which is necessary for the future translators to successfully master the lexical minimum of professional texts, learn the peculiarities of functioning and translation of such commonly used units, and analyse existing and new linguistic trends in a particular field. Sketch Engine, which is one of the most famous and renowned software products for compiling and managing corpora, is the best suited to the tasks that arise when working with professional texts for translation training, as it allows not only analysing the corpora available on the platform, but also creating your own, including multilingual ones, for the purpose of quick and qualitative analysis of industry-specific texts, selection of active vocabulary and significant terminology and typical collocations, analysis of translation peculiarities and difficulties in rendering certain units, creation of glossaries and exercises to develop and improve the translation skills of future translators. A thorough analysis of all the functions of the Sketch Engine corpus manager can significantly increase the efficiency of methodological work with professional texts, and the possibility to create search queries in CQL can improve the accuracy of the linguistic results obtained. The proposed study describes the main capacities and methods of searching, analysing and selecting typical lexical material from professional texts based on the example of a corpus of English-language texts of legal support for IT products, namely the texts of licence agreements and contracts.
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