This article reports on a controlled study carried out to examine the possible benefits of editing Machine Translation and Translation Memory outputs when translating from English to Welsh. Using software capable of timing the translation process per segment, 8 professional translators each translated 75 sentences of differing match percentage, and post-edited a further 25 segments of Machine Translation. Basing the final analysis on 800 sentences and 17,440 words, the use of Fuzzy Matches in the 70-99% match range, Exact Matches and Statistical Machine Translation was found to significantly speed up the translation process. Significant correlations were also found between the processing time data of Exact Matches and Machine Translation post-editing, rather than between Fuzzy Matches and Machine Translation as expected. Two experienced translators were then asked to rate all translations for fidelity, grammaticality and style, whereby it was found that the use of translation technology either did not negatively affect translation quality compared to manual translation, or its use actually improved final quality in some cases. As well as confirming the findings of research in relation to translation technology, these findings also contradict supposed similarities between translation quality in terms of style and post-editing Machine Translation.

This article reports on a key-logging experiment carried out in order to investigate the effect that Translation Memory matches in the 70%-95% range have on particular aspects of the translation process. Operationalising the translation process as text (re)production following Englund-Dimitrova (2005), Translog-II is used to investigate whether the use of fuzzy matches in this range can reduce cognitive effort based on Working Memory Capacity and recorded pauses, to study the effect that adapting and correcting fuzzy matches in this range has on linear and non-linear writing processes, and to examine variables related to revision, time and productivity. Results show that initial reading time and self-revision is longer in the case of fuzzy match correction compared to manual translation. Data also show however that cognitive load as measured by pauses is reduced and that productivity is also increased. Significant differences are also observed in terms of text production strategies between the translators who edited the fuzzy matches and those who translated without them.