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Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder
時間 2020-12-30
標籤
NLP
自然語言處理
機器翻譯
無監督機器翻譯
無監督神經機器翻譯
欄目
Microsoft Office
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原文
原文鏈接
Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder 知識點 摘要 引言 Cross-lingual Word Embedding Sentence Translation 3.1 Context-aware Beam Search 3.2 Denoising 實驗
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相關文章
1.
Revisiting Adversarial Autoencoder for Unsupervised Word Translation with Cycle Consistency and...
2.
Denoising Autoencoder
3.
IMPROVING GENERATIVE ADVERSARIAL NETWORKS WITH DENOISING FEATURE MATCHING(Bingio-ICLR2017)
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