论文阅读——Unsupervised Neural Machine Translation with Indirect Supervision
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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相关文章
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