تصف هذه الورقة تقديم مختبر Tencent AI المهمة المشتركة WMT2021 على الترجمة الطبية الحيوية في ثمانية اتجاهات اللغة: الإنجليزية والألمانية والفرنسية والفرنسية والإنجليزية والإسبانية والإنجليزية الروسية.استغلنا بديكنات محولات مختلفة واستراتيجيات الترجمة المرجانية وتحسينها لتحسين جودة الترجمة.بشكل ملموس، نستكشف MBART (ليو وآخرون، 2020) لإظهار فعالية استراتيجية الاحتجاج.تحتل إرسال طلباتنا (Tencent AI Lab Machine Translation، TMT) باللغة الألمانية / الفرنسية / الإسبانية⇒إنجللوي على التوالي وفقا لنتائج التقييم الرسمي من حيث درجات بلو.
This paper describes the Tencent AI Lab submission of the WMT2021 shared task on biomedical translation in eight language directions: English-German, English-French, English-Spanish and English-Russian. We utilized different Transformer architectures, pretraining and back-translation strategies to improve translation quality. Concretely, we explore mBART (Liu et al., 2020) to demonstrate the effectiveness of the pretraining strategy. Our submissions (Tencent AI Lab Machine Translation, TMT) in German/French/Spanish⇒English are ranked 1st respectively according to the official evaluation results in terms of BLEU scores.
References used
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