乌克兰语特定领域机器翻译模型的改进

2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI:10.1109/CSIT56902.2022.10000529

D. Maksymenko, Nataliia Saichyshyna, Oleksii Turuta, O. Turuta, A. Yerokhin, A. Babii

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引用次数: 2

摘要

提高翻译质量是自然语言生成的主要任务之一。对于像乌克兰语这样形态丰富的语言，几乎没有有序的数据集可以作为机器学习模型进一步训练的基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Improving the Machine Translation Model in Specific Domains for the Ukrainian Language

One of the main tasks of natural language generation is to improve the quality of translation. For a morphologically rich language like Ukrainian, there are few ordered datasets that can be the basis for further training of a machine learning model.

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2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)

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