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Register a new userRecurrent Attention for the Transformer
الانتباه المتكرر للمحول
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في هذا العمل، نقوم بإجراء تحقيق شامل على إحدى المركزيات من أنظمة الترجمة الآلية الحديثة: آلية اهتمام مفوض الترم التشفير.بدافع من مفهوم محاذاة الدرجة الأولى، فإننا نقدم آلية الاهتمام (الصليب) من خلال اتصال متكرر، مما يسمح بالوصول المباشر إلى قرارات الانتباه / المحاذاة السابقة.نقترح عدة طرق لتضمين مثل هذا التكرار في آلية الاهتمام.التحقق من أدائها عبر مهام ترجمة مختلفة نستنتج أن هذه الملحقات والتبعية ليست مفيدة لأداء الترجمة من بنية المحولات.
In this work, we conduct a comprehensive investigation on one of the centerpieces of modern machine translation systems: the encoder-decoder attention mechanism. Motivated by the concept of first-order alignments, we extend the (cross-)attention mechanism by a recurrent connection, allowing direct access to previous attention/alignment decisions. We propose several ways to include such a recurrency into the attention mechanism. Verifying their performance across different translation tasks we conclude that these extensions and dependencies are not beneficial for the translation performance of the Transformer architecture.
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https://aclanthology.org/
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