In this paper we present the results from a pilot study undertaken with translation students to compare community forum content post-editing performance based on suggestions from different translation systems. Output from both Translation Memory (TM) and Statistical Machine Translation (SMT) was presented to participants in the ACCEPT online post-editing environment, where they needed to perform a translation task with and without translation proposals. Observed data showed that post-edited MT output obtained higher results on each of the variables measured: the amount of time needed to complete the task, the participants' keystroke movements and the quality of the resulting translations.