Optimising Translation Tools for Post-Editing: Results of a User Survey
Universitat Politècnica de València, Spain, Marie Escribe, LanguageWire, Spain, Miguel Ãngel Candel Mora, Universitat Politècnica de València, Spain · 2024
The advances in Machine Translation led to the application of this technology in the translation workflow, thus resulting in Post-Editing being performed in Computer-Assisted Translation tools. While these tools have experienced a rather steady evolution since the commercialisation of the first systems, a plethora of enhancements can now be envisaged due to the latest technological developments in Artificial Intelligence. In this context, the present study seeks to elucidate Post-Editing needs and to identify potential features which could cater to those. To that end, the outcomes of a user survey were examined. This analysis allowed for determining the most complex types of Machine Translation errors, editing actions and decisions during Post-Editing. A feature wish list was also proposed, and the results allowed for identifying the most popular functionalities, which are aligned with Post-Editing needs. Keywords: Post-Editing, Computer-Assisted Translation, user needs.