Kaz-RoBERTa Conversational Technical Report

We present Kaz-RoBERTa, a base-sized RoBERTa model pretrained from scratch for Kazakh and code-switched Kazakh-Russian conversational text. Motivated by limitations of multilingual models (e.g., mBERT, XLM-R) on real-world, informal language, we curat

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Published
2025-10-02
DOI
https://doi.org/10.36227/techrxiv.175942902.25827042/v1
Primary Topic
Natural Language Processing Techniques
Type
article
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article

Kaz-RoBERTa Conversational Technical Report

Kirill Yakunin, Sanzhar Murzakhmetov, Beksultan Sagyndyk
Natural Language Processing Techniques
article

Kaz-RoBERTa Conversational Technical Report

Kirill Yakunin, Sanzhar Murzakhmetov, Beksultan Sagyndyk
article en

Abstract

We present Kaz-RoBERTa, a base-sized RoBERTa model pretrained from scratch for Kazakh and code-switched Kazakh-Russian conversational text. Motivated by limitations of multilingual models (e.g., mBERT, XLM-R) on real-world, informal language, we curat

Almaty Management University (KZ), Hordeum (Slovakia) (SK)
Openalex Percentile: Top 86%
Natural Language Processing Techniques
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Kaz-RoBERTa Conversational Technical Report — Kirill Yakunin, Sanzhar Murzakhmetov, et al. · (2025) | TGRS Research Map | TGRS