Introducing the First Module of the Multimedia Corpus of Spoken Kazakh Language

Giorgia Troiani, Andrey Filchenko

Journal of Open Humanities Data, 2026

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DOI 10.5334/johd.529
Data confidence 70 medium
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Abstract

The first module of the Multimedia Corpus of Spoken Kazakh Language is a dataset documenting contemporary Kazakh as spoken in Kazakhstan and Xinjiang (China). It includes 33 audio recordings (ca. 12 hours) and time-aligned transcriptions collected from 78 participants. Recordings feature naturally occurring conversation among native Kazakh speakers. The corpus is anonymized and published under a CC BY 4.0 license. The dataset is intended as a linguistic resource for the empirical analysis of Kazakh and it is suitable for reuse in a wide-range of linguistics-adjacent disciplines concerned with the analysis of naturally occurring language in use.