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Recent Advancements and Challenges of Turkic Central Asian Language Processing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3ACTIQ8FQL" target="_blank" >RIV/00216208:11320/26:CTIQ8FQL - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Recent Advancements and Challenges of Turkic Central Asian Language Processing

  • Original language description

    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. © 2025 Association for Computational Linguistics.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proc. Main Conf. Int. Conf. Comput. Linguist., COLING

  • ISBN

    979-8-89176-215-2

  • ISSN

  • e-ISSN

  • Number of pages

    16

  • Pages from-to

    309-324

  • Publisher name

    Association for Computational Linguistics (ACL)

  • Place of publication

  • Event location

    Abu Dhabi

  • Event date

    Jan 1, 2026

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article