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Reference-based metrics that operate at the sentence level typicallyoutperform quality estimation metrics, which have access only to the source andsystem output. This is unsurprising, since references resolve ambiguities thatmay be present in the source. We investigate whether additional source contextcan effectively substitute for a reference. We present a metric, SLIDE (SLidingDocument Evaluator), which operates on blocks of sentences using a window thatslides over each document in the test set, feeding each chunk into anunmodified, off-the-shelf quality estimation model. We find that SLIDE obtainssignificantly higher pairwise system accuracy than its sentence-level baseline,in some cases even eliminating the gap with reference-base metrics. Thissuggests that source context may provide the same information as a humanreference.

SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window