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مشاركة HW-TSC في مهمة مشتركة WMT 2021 Triangular MT
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تقدم هذه الورقة تقديم مركز خدمة الترجمة Huawei (HW-TSC) إلى المهمة المشتركة MT Triangular 2021.نشارك في المهمة الروسية إلى الصينية بموجب الحالة المقيدة.نحن نستخدم بنية المحولات والحصول على أفضل أداء عبر متغير بأحجام أكبر معلمة.نقوم بإجراء بيانات مفصلة مسبقا وتصفية البيانات المقدمة على نطاق ثنائي اللغة قدمها.تستخدم العديد من الاستراتيجيات لتدريب نماذجنا، مثل الترجمة متعددة اللغات، الترجمة الترجمة متعددة اللغات، الترجمة إلى الأمام، وتنظيم البيانات، ونقطة التفتيش المتوسطة، والوقاحة، والضبط الجميل، وما إلى ذلك. يحصل نظامنا على 32.5 بلو على مجموعة DEAS و 27.7 بلو على مجموعة الاختبار، أعلى الدرجات بين جميع التقديمات.
This paper presents the submission of Huawei Translation Service Center (HW-TSC) to WMT 2021 Triangular MT Shared Task. We participate in the Russian-to-Chinese task under the constrained condition. We use Transformer architecture and obtain the best performance via a variant with larger parameter sizes. We perform detailed data pre-processing and filtering on the provided large-scale bilingual data. Several strategies are used to train our models, such as Multilingual Translation, Back Translation, Forward Translation, Data Denoising, Average Checkpoint, Ensemble, Fine-tuning, etc. Our system obtains 32.5 BLEU on the dev set and 27.7 BLEU on the test set, the highest score among all submissions.
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