Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation之每日一篇
真正提出 Seq2Seq 的文章是《Sequence to Sequence Learning with Neural Networks》，但本篇《Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation》比前者更早使用了 Seq2Seq 模型來解決機器翻譯的問題。 摘
相關文章
- 1. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- 2. 翻譯：Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- 3. Learning Phrase Representations using RNN Encoder–Decoder for...
- 4. Paper：Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
- 5. 2014-Learning Phrase Representations using RNN Encoder–Decoder
- 6. (24) GRU & S2S：Learning Phrase Representations using RNN Encoder–Decoder for SMT
- 7. Seq2Seq系列（一）：RNN Encoder-Decoder
- 8. Statistical Machine Translation Tutorial Reading
- 9. 論文筆記：GRU----RNN Encoder-Decoder
- 10. Neural Machine Translation by Jointly Learning to Align and....
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相關文章
- 1. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- 2. 翻譯：Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- 3. Learning Phrase Representations using RNN Encoder–Decoder for...
- 4. Paper：Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
- 5. 2014-Learning Phrase Representations using RNN Encoder–Decoder
- 6. (24) GRU & S2S：Learning Phrase Representations using RNN Encoder–Decoder for SMT
- 7. Seq2Seq系列（一）：RNN Encoder-Decoder
- 8. Statistical Machine Translation Tutorial Reading
- 9. 論文筆記：GRU----RNN Encoder-Decoder
- 10. Neural Machine Translation by Jointly Learning to Align and....