约30,000,000个句子及其翻译
该数据集包含四种欧洲语言的训练数据。可用于改进当前的翻译方法。有以下语言互译可供参考:
1.Gehring J, Auli M, Grangier D, et al. Convolutional Sequence to Sequence Learning[J]. 2017.
2.Wu Y, Schuster M, Chen Z, et al. Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation[J]. 2016..
3.Luong M T, Manning C D. Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models[J]. 2016:1054-1063.
4.Lee J, Cho K, Hofmann T. Fully Character-Level Neural Machine Translation without Explicit Segmentation[J]. 2016.
5.Chung J, Cho K, Bengio Y. A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation[J]. 2016.
6.Firat O, Cho K, Bengio Y. Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism[J]. 2016:866-875.
发布时间 | 2018年 |