论文阅读——Unsupervised Neural Machine Translation with Indirect Supervision

时间 2021-01-02

标签 NLP 繁體版

原文原文链接

带有间接监督的无监督神经机器翻译（未开源） https://arxiv.org/pdf/2004.03137.pdf 虽然使用单语数据进行无监督神经机器翻译 UNMT 可以取得不错的结果，但是与监督 NMT 仍存在较大差距，缺点主要在于缺乏监督信号。作者引入一种多语言无监督 NMT 框架 MUNMT，利用了高资源 high-resource 语言对到零资源 zero-resource 翻译的弱

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1. 论文阅读——Robust Unsupervised Neural Machine Translation with Adversarial Training
2. 论文阅读：Neural Machine Translation with Byte-Level Subwords
3. 论文阅读：Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation
4. 文献阅读笔记：Phrase-Based & Neural Unsupervised Machine Translation
5. Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation
6. 论文解读：Multimodal Machine Translation with Embedding Prediction
7. 论文阅读：ByteNet, Neural Machine Translation in Linear Time
8. Neural machine translation by jointly learning to align and translate论文阅读笔记
9. 【论文阅读】Neural Machine Translation By Jointly Learning To Align and Translate
10. [论文阅读笔记] Massive Exploration of Neural Machine Translation Architectures

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