Translator2Vec: Understanding and Representing Human Post-Editors
Table 6: Pearson correlation between two pairs of variables: mouse actions / jump backs and first waiting time / jump backs.
['[EMPTY]', 'Mouse and JB (%)', '1st WT and JB (%)']
We hypothesize that there are two types of human editors: those who first read the full document and then post-edit it left to right; and those who read as they type, and go back and forth. Indeed, there is a slight negative correlation between the average initial pause and the count of jump backs per word. This matches intuition, since a person who waited longer before beginning a task will probably have a clearer idea of what needs to be done in the first place. We also present the correlation between the count of mouse events (clicks and selections) and count of jump backs, which we observe to be very high. This may be due to the need to move between distant positions of the document, which is more commonly done with the mouse than with the keyboard.