Evaluating Corpus Interface Usability for Linguistic Research: The Case of the Kazakh National Corpus

2026

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DOI 10.33542/jtl2026-1-11
Data confidence 70 medium
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Abstract

This study examines the web interface of the Kazakh National Corpus (KNC) to assess its usability for general corpus-linguistic research. Drawing on established literature, we determine whether the corpus interface supports core analytical techniques, including frequency lists, concordances, keyword lists, and collocations and n-grams. We assess the presence, accessibility, functionality, and overall usability of these tools, identifying areas for improvement. To complement this theory-driven evaluation, we compare the KNC interface with those of two established national corpora, the British National Corpus (BNC) and the Russian National Corpus (RNC), to extract practical insights from their interface design and application of these analytical techniques. This two-level approach allows us to highlight both the theoretical requirements and practical considerations for enhancing the usability of the corpus interface for the purposes of international-standards linguistic research.