Can Automatic Post-Editing Make MT More Meaningful

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Findings of the 2015 Workshop on Statistical Machine Translation (2015, background): “As pointed out in Parton et al. (2012) and Chat-terjee et al. (2015b), from the application point of view, APE components would make it possible to: • Improve MT output by exploiting information unavailable to the decoder, or by performing performing deeper text analysis that is too expensive at…”
USAAR-SAPE: An English–Spanish Statistical Automatic Post-Editing System (2015, methodology): “Parton et al. (2012) evaluated their approach with human evaluators and found that the adequacy of post-edited MT output improved both for rule-based and feedback APE.”
The FBK Participation in the WMT15 Automatic Post-editing Shared Task (2015, methodology): “On one side, as shown by Parton et al. (2012), APE systems can improve MT output by exploiting information unavailable to the decoder, or by performing deeper text analysis that is too expensive at the decoding stage.”
Exploring the Planet of the APEs: a Comparative Study of State-of-the-art Methods for MT Automatic Post-Editing (2015, background): “On one side, rule-based methods (Rosa et al., 2012) gained limited attention, probably due to the extensive manual work they involve and their scarce portability across languages.”