Combining Confidence Estimation and Reference-based Metrics for Segment-level MT Evaluation

Abstract

We describe an effort to improve standard reference-based metrics for Machine Translation (MT) evaluation by enriching them with Confidence Estimation (CE) features and using a learning mechanism trained on human annotations. Reference-based MT evaluation metrics compare the system output against reference translations looking for overlaps at different… (More)

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