paper reading:NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE
通過聯合學習對齊和翻譯的神經機器翻譯 作者： Dzmitry Bahdanau Jacobs University Bremen, Germany KyungHyun Cho Yoshua Bengio∗ Universite de Montr ´ eal 摘要： 神經機器翻譯的目標是建立一個單一的神經網絡，可以共同調整以最大化翻譯性能。最近提出的用於神經機器翻譯的模型經常屬於編碼器 - 譯碼器族
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- 1. Neural Machine Translation by Jointly Learning to Align and Translate
- 2. NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE
- 3. Paper Reading: Neural Machine Translation by Jointly Learning to Align and Translate
- 4. Neural Machine Translation by Jointly Learning to Align and....
- 5. 《Neural Machine Translation by Jointly Learning to Align and Translate》閱讀筆記
- 6. neural machine translation by jointly learning to align and translate閱讀
- 7. 論文閱讀《NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE》
- 8. (26)[ICLR15] NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE
- 9. Neural Machine Translation by Jointly Learning to Align and Translate閱讀筆記
- 10. 論文閱讀：《Neural Machine Translation by Jointly Learning to Align and Translate》