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Register a new userThe IICT-Yverdon System for the WMT 2021 Unsupervised MT and Very Low Resource Supervised MT Task
نظام IICT-Yverdon ل WMT 2021 MT غير الخاضعة للإشراف ومهمة MT منخفضة للغاية
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في هذه الورقة، نقدم النظم المقدمة من فريقنا من معهد تكنولوجيا المعلومات والاتصالات (HIGH-VD / HES-SO) إلى مهمة MT غير الخاضعة للرقابة والموارد منخفضة للغاية.ندرس أولا التحسينات التي جلبت إلى نظام أساسي من خلال تقنيات مثل الترجمة الخلفي والتهيئة من نموذج الوالدين.نجد أن كلتا التقنيتين مفيدة وكافية للوصول إلى الأداء الذي يقارن مع أنظمة أكثر تطورا من مهمة 2020.بعد ذلك، نقدم تطبيق هذا النظام إلى مهمة 2021 للمزيد من الأغراض السربية العلوي تحت الإشراف (HSB) إلى الترجمة الألمانية، في كلا الاتجاهين.أخيرا، نقدم نظاما نظعا ل HSB-DE في كلا الاتجاهين، وللترجمة الألمانية غير الخاضعة للرقابة إلى أسفل ترجمة Sorbian (DSB)، والتي تستخدم التدريب المتعدد المهام مع مختلف جداول التدريب لتحسين الخط الأساسي.
In this paper, we present the systems submitted by our team from the Institute of ICT (HEIG-VD / HES-SO) to the Unsupervised MT and Very Low Resource Supervised MT task. We first study the improvements brought to a baseline system by techniques such as back-translation and initialization from a parent model. We find that both techniques are beneficial and suffice to reach performance that compares with more sophisticated systems from the 2020 task. We then present the application of this system to the 2021 task for low-resource supervised Upper Sorbian (HSB) to German translation, in both directions. Finally, we present a contrastive system for HSB-DE in both directions, and for unsupervised German to Lower Sorbian (DSB) translation, which uses multi-task training with various training schedules to improve over the baseline.
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