Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders
Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders 知識點 摘要 引言 本文方法 這是2019ACL的一篇文章。 本文借鑑《Unsupervised Neural Machine Translation》一文的思想，只是把兩種語言之間的翻譯改爲四種語言之間的翻譯。效果比較好而已。 文章鏈
相關文章
- 1. Unsupervised Learning-Auto Encoder
- 2. Unsupervised Learning: Deep Auto-encoder
- 3. Unsupervised Learning-More Auto-Encoder
- 4. Diverse and Accurate Image Description Using a Variational Auto-Encoder
- 5. 李宏毅ML lecture-16 unsupervised Learning Auto-encoder
- 6. 筆記：ML-LHY-16: Unsupervised Learning - Auto-encoder
- 7. Almost Unsupervised Text to Speech and Automatic Speech Recognition
- 8. Thread and shared lock
- 9. 李宏毅-DeepLearning-2017-Unsupervised Learning:Deep Auto-encoder
- 10. [Erlang 0055] Erlang Shared Data using mochiglobal
- 更多相關文章...
- • W3C RDF and OWL 活動 - W3C 教程
- • XSL-FO table-and-caption 對象 - XSL-FO 教程
- • RxJava操作符（七）Conditional and Boolean
- • RxJava操作符（六）Utility
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. Unsupervised Learning-Auto Encoder
- 2. Unsupervised Learning: Deep Auto-encoder
- 3. Unsupervised Learning-More Auto-Encoder
- 4. Diverse and Accurate Image Description Using a Variational Auto-Encoder
- 5. 李宏毅ML lecture-16 unsupervised Learning Auto-encoder
- 6. 筆記：ML-LHY-16: Unsupervised Learning - Auto-encoder
- 7. Almost Unsupervised Text to Speech and Automatic Speech Recognition
- 8. Thread and shared lock
- 9. 李宏毅-DeepLearning-2017-Unsupervised Learning:Deep Auto-encoder
- 10. [Erlang 0055] Erlang Shared Data using mochiglobal