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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| Format: | Artigo |
| Sprog: | Catalão |
| Udgivet: |
Masaryk University
2024-12-01
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| Serier: | Études romanes de Brno |
| Fag: | |
| Online adgang: | https://journals.phil.muni.cz/erb/article/view/40328 |
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