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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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| container_end_page | 129 |
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| creator | Maksymenko, Daniil Saichyshyna, Nataliia Turuta, Oleksii Turuta, Olena Yerokhin, Andriy Babii, Andrii |
| description | 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. |
| doi_str_mv | 10.1109/CSIT56902.2022.10000529 |
| format | conference_proceeding |
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| fulltext | fulltext_linktorsrc |
| identifier | EISSN: 2766-3639 |
| ispartof | 2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT), 2022, p.123-129 |
| issn | 2766-3639 |
| language | eng |
| recordid | cdi_ieee_primary_10000529 |
| source | IEEE Xplore All Conference Series |
| subjects | Analytical models Computational modeling Data models Data visualization Machine learning Machine Translation Text Corpora Time measurement Training Ukrainian language generation |
| title | Improving the Machine Translation Model in Specific Domains for the Ukrainian Language |
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