Translation Memories (TM) and Machine Translation (MT) have been used by translators for a long time, but research has mainly studied them separately until very recently. Nowadays, however, not only academic research is focused on the integration of TM and MT, but many CAT tools include the possibility of working with an MT engine as well. Some companies claim that the integration of the two technologies is beneficial for translators as it may increase their productivity, but there are not comprehensive studies on the topic and very little is known about the efforts, productivity and opinion of translators on using translation tools that integrate TM and MT, and the quality of the final texts.
In the first part of the talk, I will present the different ways TM and MT can be integrated, which are divided into two main categories: internal or external integration. In the second part, I will present the project we are currently carrying out to study the post-editing efforts (technical, temporal, and cognitive) of translators working in an external integrated environment (i.e., both TM and MT segments are presented to the translator), the preliminary findings, what we found about the opinion of translators, and the next steps of the project.
Rocío Caro is currently doing her PhD in Translation Technology at the Research Group of Computational Linguistics, University of Wolverhampton. She has an MA in Translation for the Publishing World and a BA in Translation and Interpreting from the University of Malaga, Spain.