Recent Advancements and Challenges of Turkic Central Asian Language Processing

Yana Veitsman; Mareike Hartmann

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arXiv · 2407.05006

Recent Advancements and Challenges of Turkic Central Asian Language Processing

Yana Veitsman·Mareike Hartmann

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Abstract

Research in NLP for Central Asian Turkic languages - Kazakh, Uzbek, Kyrgyz, and Turkmen - faces typical low-resource language challenges like data scarcity, limited linguistic resources and technology development. However, recent advancements have included the collection of language-specific datasets and the development of models for downstream tasks. Thus, this paper aims to summarize recent progress and identify future research directions. It provides a high-level overview of each language's linguistic features, the current technology landscape, the application of transfer learning from higher-resource languages, and the availability of labeled and unlabeled data. By outlining the current state, we hope to inspire and facilitate future research.

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Yana Veitsman, Mareike Hartmann. 2024-07-06. Recent Advancements and Challenges of Turkic Central Asian Language Processing. https://arxiv.org/abs/2407.05006

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