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Found 4 papers, 1 papers with code
Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification
Traditional hand-crafted linguistically-informed features have often been used for distinguishing between translated and original non-translated texts.
Leveraging Neural Machine Translation for Word Alignment
The most common tools for word-alignment rely on a large amount of parallel sentences, which are then usually processed according to one of the IBM model algorithms.
DFKI-MLT System Description for the WMT18 Automatic Post-editing Task
This paper presents the Automatic Post-editing (APE) systems submitted by the DFKI-MLT group to the WMT{'}18 APE shared task.
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