: NLP Vocabulary: machine translation output

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machine translation output

Although machine translation technology has improved machine translation output inevitably involves errors and the type of errors in the output varies depending on the machine translation system. (Shin & Lee, 2018)
Evaluation of machine translation output is an important but difficult task. (Popovic, de Gispert, Gupta, Lambert, Ney, Mariño, Federico & Banchs, 2006)
Works like Bhattacharyya et al. (2022) also demonstrate efficiency in enhancing machine translation outputs via automatic post-editing systems. (Fernandes, Madaan, Liu, Farinhas, Martins, Bertsch, de Souza, Zhou, Wu, Neubig & Martins, 2023)

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