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Researchers propose Adversarial Translation Optimization (ATO), a gradient-based method that augments existing machine translation benchmarks to increase difficulty, lowering average translation quali…

Researchers at Ohio State University developed HydraQE, an end-to-end, reference-free quality estimation system for speech translation that outperforms cascaded text-based baselines. Submitted to the …