Rethink about the Word-level Quality Estimation for Machine Translation from Human Judgement. (arXiv:2209.05695v1 [cs.CL])

Word-level Quality Estimation (QE) of Machine Translation (MT) aims to find
out potential translation errors in the translated sentence without reference.
Typically, conventional works on word-level QE are designed to predict the
translation quality in terms of the post-editing effort, where the word labels
("OK" and "BAD") are automatically generated by comparing words between MT
sentences and the post-edited sentences through a Translation Error Rate (TER)
toolkit. While the post-editing effort can be used to measure the translation
quality to …

arxiv human machine machine translation quality translation