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Preprint · arXiv · December 17, 2024

Syntactic Transfer to Kyrgyz Using the Treebank Translation Method

Anton Alekseev, Alina Tillabaeva, Gulnara Kabaeva, Sergey Nikolenko

Abstract

The Kyrgyz language, as a low-resource language, requires significant effort to create high-quality syntactic corpora. This study proposes an approach to simplify the development process of a syntactic corpus for Kyrgyz. We present a tool for transferring syntactic annotations from Turkish to Kyrgyz based on a treebank translation method. The effectiveness of the proposed tool was evaluated using the TueCL treebank. The results demonstrate that this approach achieves higher syntactic annotation accuracy compared to a monolingual model trained on the Kyrgyz KTMU treebank. Additionally, the study introduces a method for assessing the complexity of manual annotation for the resulting syntactic trees, contributing to further optimization of the annotation process.

Natural Language Processing TechniquesSyntax, Semantics, Linguistic VariationLinguistic Studies and Language AcquisitionKyrgyz languagelow-resource languagescross-lingual annotation

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