AI RESEARCH
How to Evaluate Speech Translation with Source-Aware Neural MT Metrics
arXiv CS.CL
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ArXi:2511.03295v3 Announce Type: replace Automatic evaluation of ST systems is typically performed by comparing translation hypotheses with one or reference translations. While effective to some extent, this approach inherits the limitation of reference-based evaluation that ignores valuable information from the source input. In MT, recent progress has shown that neural metrics incorporating the source text achieve stronger correlation with human judgments.