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تقديمات ETRANSLEATION إلى مهمة ترجمة WMT 2021
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تصف الورقة طرز 3 NMT المقدمة من فريق ETRANSLEATION إلى مهمة مشتركة من WMT 2021 الأخبار.قمنا بتطوير أنظمة في أزواج اللغة المستخدمة بنشاط في خدمة إبعاد المفوضية الأوروبية.في مهمة أخبار WMT، شهدت السنوات الأخيرة زيادة مطردة في الحاجة إلى موارد حسابية لتدريب البنيات العميقة والمعقدة لإنتاج أنظمة تنافسية.أخذنا نهجا مختلفا واستعرضنا استراتيجيات بديلة تركز على اختيار البيانات وتصفية لتحسين أداء أنظمة الأساس.في المجال المهمة المقيدة للزوج باللغة الفرنسية - الألمانية نتج عنه نهجنا في أفضل نظام لهامش مهم في بلو.بالنسبة للأنظمة الأخرى (الإنجليزية - الألمانية والإنجليزية - التشيكية) حاولنا بناء نماذج تنافسية باستخدام أفضل الممارسات القياسية.
The paper describes the 3 NMT models submitted by the eTranslation team to the WMT 2021 news translation shared task. We developed systems in language pairs that are actively used in the European Commission's eTranslation service. In the WMT news task, recent years have seen a steady increase in the need for computational resources to train deep and complex architectures to produce competitive systems. We took a different approach and explored alternative strategies focusing on data selection and filtering to improve the performance of baseline systems. In the domain constrained task for the French--German language pair our approach resulted in the best system by a significant margin in BLEU. For the other two systems (English--German and English-Czech) we tried to build competitive models using standard best practices.
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