The Behavioural Translation Style Space: Towards simulating the temporal dynamics of affect, behaviour, and cognition in human translation production
This work addresses the challenge of understanding and simulating complex human translation processes for researchers in computational linguistics and translation studies, though it appears incremental as it builds on existing behavioral data analysis.
The paper tackles the problem of modeling human translation behavior by introducing a hierarchical behavioral translation style space (BTSS) that links observable actions like keystrokes and gaze to higher-order cognitive and affective processes, resulting in a framework for simulating temporal dynamics in translation production.
The paper introduces a novel behavioural translation style space (BTSS) that describes possible behavioural translation patterns. The suggested BTSS is organized as a hierarchical structure that entails various embedded processing layers. We posit that observable translation behaviour - i.e. eye and finger movements - is fundamental when executing the physical act of translation but it is caused and shaped by higher-order cognitive processes and affective translation states. We analyse records of keystrokes and gaze data as indicators of the hidden mental processing structure and organize the behavioural patterns as a multi-layered embedded BTSS. We develop a perspective in which the BTSS serves as the basis for a computational translation agent to simulate the temporal dynamics of affect, behavioural routines and cognition during human translation production.