Marina Sanchez-Torron


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Machine Translation Quality and Post-Editor Productivity
Marina Sanchez-Torron | Philipp Koehn
Conferences of the Association for Machine Translation in the Americas: MT Researchers' Track

We assessed how different machine translation (MT) systems affect the post-editing (PE) process and product of professional English–Spanish translators. Our model found that for each 1-point increase in BLEU, there is a PE time decrease of 0.16 seconds per word, about 3-4%. The MT system with the lowest BLEU score produced the output that was post-edited to the lowest quality and with the highest PE effort, measured both in HTER and actual PE operations.