论文 Non-Parametric Adaptation for Neural Machine Translation阅读笔记
这篇论文参考了Encoding Gated Translation Memory into Neural Machine Translation。建议先阅读这篇论文之后再阅读本论文。 传统的NMT（Neural machine translation）模型的泛化能力很强，但是对于专业领域的翻译或者罕见词汇的翻译就不那么准确了。如何解决这个问题？本文作者是这样做的，在decoder阶段加入一些具有专
相关文章
- 1. Neural machine translation by jointly learning to align and translate论文阅读笔记
- 2. [论文阅读笔记] Massive Exploration of Neural Machine Translation Architectures
- 3. 【论文】on the properties of neural machine translation :Encoder-decoder approaches 阅读笔记
- 4. 论文阅读——Dual Learning for Machine Translation
- 5. 论文阅读：Dual Learning for Machine Translation
- 6. 论文阅读——Modeling Future Cost for Neural Machine Translation
- 7. 【论文阅读】Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization
- 8. 论文阅读：Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation
- 9. 文献阅读笔记：Phrase-Based & Neural Unsupervised Machine Translation
- 10. Fine-Grained Attention Mechanism for Neural Machine Translation 论文笔记
- 更多相关文章...
- • RSS 阅读器 - RSS 教程
- • Docker Machine - Docker教程
- • Tomcat学习笔记（史上最全tomcat学习笔记）
- • JDK13 GA发布：5大特性解读
相关标签/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。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. Neural machine translation by jointly learning to align and translate论文阅读笔记
- 2. [论文阅读笔记] Massive Exploration of Neural Machine Translation Architectures
- 3. 【论文】on the properties of neural machine translation :Encoder-decoder approaches 阅读笔记
- 4. 论文阅读——Dual Learning for Machine Translation
- 5. 论文阅读：Dual Learning for Machine Translation
- 6. 论文阅读——Modeling Future Cost for Neural Machine Translation
- 7. 【论文阅读】Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization
- 8. 论文阅读：Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation
- 9. 文献阅读笔记：Phrase-Based & Neural Unsupervised Machine Translation
- 10. Fine-Grained Attention Mechanism for Neural Machine Translation 论文笔记