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Neural Machine Translation by Jointly Learning to Align and Translate
時間 2021-01-02
標籤
attention
深度學習
機器學習
神經網絡
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原文
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Neural Machine Translation by Jointly Learning to Align and Translate 神經機器翻譯是最近提出的一種機器翻譯方法。與傳統的統計機器翻譯不同,神經機器翻譯的目的是建立一個單一的神經網絡,可以共同調整,使翻譯性能最大化。最近提出的神經機器翻譯的模型通常屬於編碼器-解碼器家族,並將源句編碼成一個固定長度的向量,解碼器從中生成譯文。在本文
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NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE
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