An approach to user-centered translation quality assessment of machine translation output : the case of DeepL, Google Translate, and ChatGPT in Czech-to-Spanish translation outputs
The widespread use of free Neural Machine Translation (NMT) systems requires a greater effort on the part of the scientific community to evaluate their quality. This article presents the state of the art and the results of a pilot analysis aimed at revealing the level of satisfaction of potential us...
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| Главный автор: | |
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| Формат: | Artigo |
| Язык: | Catalão |
| Опубликовано: |
Masaryk University
2024-12-01
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| Серии: | Études romanes de Brno |
| Предметы: | |
| Online-ссылка: | https://journals.phil.muni.cz/erb/article/view/40328 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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