Published July 17, 2022 | Version v1

Eyetracking and keystroke logging metrics for measuring automaticity in translation

Authors/Creators

  • 1. South China University of Technology

Description

This dataset contains the behavioural data from 35 novice translators and 30 experienced translators (65 participants in total) during their translation process. The data are specifically generated eyetracking and keystroke logging metrics for measuring automaticity in the complex activity of translation, which includes four aspects, namely, speed, degree of parallel processing, effortlessness, and the pattern of attention allocated to the source text and target text areas. The dataset is provided for the paper Automaticity in Translation: Effects of Time Pressure and Work Experience.

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