With quality improvements in neural machine translation (NMT), scholars have argued that human translation revision and MT post-editing are becoming more alike, which would have implications for translator training. This study contributes to this growing body of work by exploring the ability of student translators (ZH-EN) to distinguish between NMT and human translation (HT) for news text and literary text and analyses how text type and student perceptions influence their subsequent revision process. We found that participants were reasonably adept at distinguishing between NMT and HT, particularly for literary texts. Participants’ revision quality was dependent on the text type as well as the perceived source of translation. The findings also highlight student translators’ limited competence in revision and post-editing, emphasizing the need to integrate NMT, revision, and post-editing into translation training programmes.