用土耳其语树库迁移法，高效构建吉尔吉斯语句法语料
Syntactic Transfer to Kyrgyz Using the Treebank Translation Method
- 通过树库翻译法将土耳其语句法标注迁移到吉尔吉斯语
- 在TueCL语料上准确率优于仅用吉尔吉斯语训练的模型
- 提供标注复杂度评估方法，助力优化人工标注流程
吉尔吉斯语作为低资源语言，构建高质量句法语料需大量人力。本文提出一种基于树库翻译法的工具，将土耳其语的句法标注迁移到吉尔吉斯语，简化语料开发流程。在TueCL树库上的实验表明，该方法相比仅使用吉尔吉斯语KTMU树库训练的单语模型，实现了更高的句法标注准确率。此外，研究还提出一种评估生成句法树人工标注复杂度的方法，有助于进一步优化标注流程。
原文摘要 · Abstract (English)
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.
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