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Register a new userLingua Custodia's Participation at the WMT 2021 Machine Translation Using Terminologies Shared Task
مشاركة Lingua Custodia في الترجمة الآلية WMT 2021 باستخدام المصطلحات المشتركة
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تصف هذه الورقة تقديم Lingua Custodia إلى المهمة المشتركة WMT21 على الترجمة الآلية باستخدام المصطلحات.نحن نعتبر ثلاث اتجاهات، وهي الإنجليزية إلى الفرنسية والروسية والصينية.نحن نعتمد على بنية قائمة على المحولات كمنظمة بناء، ونحن نستكشف طريقة تقدم تغييرتين رئيسيتين على الإجراء القياسي للتعامل مع المصطلحات.أول واحد يتكون في زيادة البيانات التدريبية بطريقة تشجيع النموذج لتعلم سلوك النسخ عند مواجهة مصطلحات قواعد المصطلحات.التغيير الثاني هو عبيد موضعي اخفاء، والغرض منه هو تخفيف التعلم سلوك النسخ وتحسين تعميم النموذج.تظهر النتائج التجريبية أن طريقتنا تلبي معظم قيود المصطلين مع الحفاظ على جودة الترجمة عالية.
This paper describes Lingua Custodia's submission to the WMT21 shared task on machine translation using terminologies. We consider three directions, namely English to French, Russian, and Chinese. We rely on a Transformer-based architecture as a building block, and we explore a method which introduces two main changes to the standard procedure to handle terminologies. The first one consists in augmenting the training data in such a way as to encourage the model to learn a copy behavior when it encounters terminology constraint terms. The second change is constraint token masking, whose purpose is to ease copy behavior learning and to improve model generalization. Empirical results show that our method satisfies most terminology constraints while maintaining high translation quality.
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