Sketch Engine as an instrument of corpus-based linguistic analysis

Bober, Nataliia (2026) Sketch Engine as an instrument of corpus-based linguistic analysis Закарпатські філологічні студії, 45 (1). pp. 101-112. ISSN 2663-4880, 2663-4899

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Abstract

The relevance of the study is determined by the rapid growth of the role of digital corpus tools in contemporary linguistic analytics and the need for critical reflection on their methodological potential. The aim of the article is to provide a comprehensive investigation of the functional capabilities and limitations of the Sketch Engine platform in the context of corpus-driven and digital approaches to the analysis of linguistic data. The methodological framework is based on methods of corpus analysis, contrastive interpretation, and automated explication of lexico-grammatical characteristics, which are used to assess the performance of the key modules of Sketch Engine and to verify their relevance for working with different types of corpora. The study identifies specific features of the tool’s operation with grammatical and semantic profiles of word usage, automatic collocational models, and frequency characteristics of lexical units. The effectiveness of Word Sketch, Sketch Diff, and Concordance is analysed in the investigation of lexico-semantic, syntactic, and pragmatic phenomena, in particular in the study of emotionally coloured vocabulary in contemporary English. A number of technical and methodological limitations affecting the interpretation of results are identified, including the need for corpus data filtering, the complexity of processing polysemy and homonymy, and the dependence of the quality of automatically generated data on corpus specificity. Examples of the practical application of the tool for analysing linguistic categories that are difficult to formalise, in particular metaphorical models and emotional states, are generalised. An approach is developed that combines automated procedures with critical linguistic interpretation in order to increase the reliability of large-scale textual data analysis. It is concluded that Sketch Engine is a powerful tool for analysing large volumes of textual data (Big Data); however, its use requires a high level of professional competence, methodological caution, and a clear awareness of the linguistic context and epistemological goals of scientific inquiry. The practical significance of the study lies in the possibility of using its results by specialists in corpus linguistics, digital humanities, and applied linguistics to optimise research procedures and enhance analytical accuracy when working with different types of corpora.

Item Type:	Article
Uncontrolled Keywords:	digital language data; emotional vocabulary; collocations; corpus tools; tagging; Word Sketch; Concordance
Subjects:	Статті у базах даних > Index Copernicus Статті у періодичних виданнях > Фахові (входять до переліку фахових, затверджений МОН)
Divisions:	Факультет романо-германської філології > Кафедра германської філології
Depositing User:	Наталія Миколаївна Бобер
Date Deposited:	11 May 2026 12:54
Last Modified:	11 May 2026 12:54
URI:	https://elibrary.kubg.edu.ua/id/eprint/57361

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