12 datasets found

Chinese–Japanese Unsupervised Neural Machine Translation Using Sub-character Level Information

A neural machine translation toolkit that uses maximum likelihood as the training criterion.

XNMT is a neural machine translation toolkit that focuses on modular code design, making it easy to swap in and out different parts of the model.

The dataset used in the paper is a French-English translation task.

Multilingual Neural Machine Translation datasets

Multilingual denoising pre-training for neural machine translation

The dataset used in the paper is a large-scale dataset for neural machine translation (NMT) task, consisting of 20.6M sentence pairs for Chinese-English, 35.5M sentence pairs...

Tensor2Tensor for neural machine translation.

Multimodal Neural Machine Translation systems developed by LIUM and CVC for WMT18 Shared Task on Multimodal Translation.

The proposed approach is tested on English-German, English-French and Chinese-to-English translation tasks.

IWSLT is a neural machine translation dataset.

A dataset for exploring the effect of noise and architecture on neural machine translation.