IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages (2023.acl-long)
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Ananya Sai B, Tanay Dixit, Vignesh Nagarajan, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra, Raj Dabre
| Challenge: | Recent studies on machine translation systems focus on high-resource languages, but focus has shifted to low-resourced languages. |
| Approach: | They evaluate 16 metrics from a multidimensional quality metric dataset . they show pre-trained metrics have higher correlations with annotator scores . |
| Outcome: | The proposed evaluations show that pre-trained metrics outperform COMET on Indian languages. |
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