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Register a new userDUTNLP Machine Translation System for WMT21 Triangular Translation Task
نظام الترجمة الآلي Dutnlp لمهمة الترجمة الثلاثي WMT21
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تصف هذه الورقة تقديم LIT-NLP LAB إلى المهمة المشتركة للترجمة الثلاثي WMT-21 Triangular.لا يسمح للمشاركين باستخدام البيانات الأخرى واتجاه الترجمة لهذه المهمة هو الروسية إلى الصينية.في هذه المهمة، نستخدم المحول كنموذج الأساس لدينا، ودمج العديد من التقنيات لتعزيز أداء الأساس، بما في ذلك تصفية البيانات، واختيار البيانات، والضبط الناعم، والتحرير بعد التحرير.علاوة على ذلك، للاستفادة من موارد اللغة الإنجليزية، مثل البيانات الروسية / الإنجليزية والصينية / الإنجليزية الموازية، يتم إنشاء مثلث العلاقة من خلال أنظمة الترجمة الآلية العصبية متعددة اللغات.نتيجة لذلك، يحقق تقديمنا نقاطا بلو 21.9 في الروسية إلى الصينية.
This paper describes DUT-NLP Lab's submission to the WMT-21 triangular machine translation shared task. The participants are not allowed to use other data and the translation direction of this task is Russian-to-Chinese. In this task, we use the Transformer as our baseline model, and integrate several techniques to enhance the performance of the baseline, including data filtering, data selection, fine-tuning, and post-editing. Further, to make use of the English resources, such as Russian/English and Chinese/English parallel data, the relationship triangle is constructed by multilingual neural machine translation systems. As a result, our submission achieves a BLEU score of 21.9 in Russian-to-Chinese.
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