Toward a Typology of Writing Errors in the Kazakh Language: Corpus-Based Data and Cognitive Interpretation

2025

Full text Open access: Hybrid Metadata (CSL-JSON)
DOI 10.55491/2411-6076-2025-4-132-144
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

The article presents a comprehensive analysis of language errors found in written texts in the Kazakh language (compositions, essays, dictations, and other written works). The study is based on a corpus approach and includes the classification of over 100 types of errors: orthographic, punctuation, grammatical, lexical, stylistic, and technical. The paper analyzes common writing errors occurring in the works of students of different age groups. The relevance of the study lies in the need for a systematic description and digital documentation of writing errors in Kazakh, which contributes to the creation of a specialized Error Corpus – a new research database designed to reveal the patterns of linguistic interference, features of linguistic worldview, and the dynamics of written language norms. The development of this corpus allows not only objective description of language deviations but also their cognitive and psycholinguistic interpretation. The research employs a comprehensive approach combining corpus linguistics and cognitive modeling methods. The results show that the most frequent errors are orthographic, lexical, grammatical, and punctuation errors, arising under the influence of Russian interference, cognitive information processing patterns, and automated speech templates. The obtained data form the foundation for the further development of the Kazakh Error Corpus and contribute to improving written language norms, teaching methodology, and diagnostic practices.