Bridging the Gap between Training and Inference for Neural Machine Translation翻译

时间 2020-07-21

标签 bridging gap training inference neural machine translation 翻译繁體版

原文原文链接

Bridging the Gap between Training and Inference for Neural Machine Translation 翻译原文连接：https://arxiv.org/abs/1906.02448 摘要神经机器翻译（NMT）以根据上下文词生成下一个词的方式顺序生成目标词序列。在训练时，它根据真实（这里及下文的真实都是指训练集中真实的译文句子）上下文进行预

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1. Bridging the Gap Between Relevance Matching and Semantic Matching for Short Text Similarity Modeling
2. Bridging the Gap Between Detection and Tracking: A Unified Approach
3. Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings 论文总结
4. 目标检测论文: Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample
5. [目标检测]Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample S
6. 解读《Bridging the Gap Between Anchor-based and Anchor-free Detection》
7. Classification and inference with machine learning
8. 翻译：Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
9. Bridging the Gap Between Anchor-based and Anchor-free Detection via ATSS论文阅读 - CVPR2020 oral
10. Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation

>>更多相关文章<<