Learning from Chunk-based Feedback in Neural Machine Translation
Table 1: Chunk-level feedback compared to sentence-level feedback. Self-training is equivalent to having no feedback or setting all wi=1,∀i in the training objective in Eq. (2). sent-sBLEU and sent-binary are sentence-level methods with sentence BLEU and binary weighting rules, defined as in Section 4.2. chunk-match and chunk-lcs-level feedback refers to assigning wi using simple matching or LCS method described in Section 3.
['[EMPTY]', 'De-En BLEU', 'De-En TER', 'En-Es BLEU', 'En-Es TER']
First, we see that even using no feedback slightly improves the model due to self-training on automatically translated in-domain data.