Nataliia Saichyshyna
2023
Controllability for English-Ukrainian Machine Translation Based on Specialized Corpora
Daniil Maksymenko
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Olena Turuta
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Nataliia Saichyshyna
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Maksym Yerokhin
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Oleksii Turuta
Proceedings of the 1st International Workshop on Multilingual, Multimodal and Multitask Language Generation
Extension Multi30K: Multimodal Dataset for Integrated Vision and Language Research in Ukrainian
Nataliia Saichyshyna
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Daniil Maksymenko
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Oleksii Turuta
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Andriy Yerokhin
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Andrii Babii
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Olena Turuta
Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)
We share the results of the project within the well-known Multi30k dataset dedicated to improving machine translation of text from English into Ukrainian. The main task was to manually prepare the dataset and improve the translation of texts. The importance of collecting such datasets for low-resource languages for improving the quality of machine translation has been discussed. We also studied the features of translations of words and sentences with ambiguous meanings. The collection of multimodal datasets is essential for natural language processing tasks because it allows the development of more complex and comprehensive machine learning models that can understand and analyze different types of data. These models can learn from a variety of data types, including images, text, and audio, for more accurate and meaningful results.
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Co-authors
- Daniil Maksymenko 2
- Olena Turuta 2
- Oleksii Turuta 2
- Maksym Yerokhin 1
- Andriy Yerokhin 1
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