Pre-task perceptions paper at EAMT2024 - Dataset

This dataset contains all the data collected in the paper "Pre-task perceptions of MT influence quality and productivity: the importance of better translator-computer interactions and implications for training". The dataset contains the source texts and the post-edited translations, the quality and productivity scores, as well as the pre-task perceptions of each of the 11 translators who collaborated on the two-week longitudinal study. Please cite: Briva-Iglesias, Vicent and Sharon O’Brien. ‘Pre-task perceptions of MT influence quality and productivity: the importance of better translator-computer interactions and implications for training'. In Proceedings of the 25th Annual Conference of the European Association for Machine Translation, 2024.