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Contextualizing technical terminology can boost translation accuracy by over 79% in named-entity recall without the need for extensive model retraining.
Filtering speech data with an audio-language model boosts translation accuracy by over 1.4 ASR-BLEU, highlighting the critical role of data quality in S2ST.