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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Bibliographic Details
Main Authors: Maksymenko, Daniil, Saichyshyna, Nataliia, Turuta, Oleksii, Turuta, Olena, Yerokhin, Andriy, Babii, Andrii
Format: Conference Proceeding
Language:English
Subjects:
Analytical models
Computational modeling
Data models
Data visualization
Machine learning
Machine Translation
Text Corpora
Time measurement
Training
Ukrainian language generation
Online Access:Request full text
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Description
Summary: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.
ISSN:2766-3639
DOI:10.1109/CSIT56902.2022.10000529