12 datasets found

Neural machine translation by jointly learning to align and translate.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used various datasets for machine translation tasks.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the Moses toolkit to tokenize sentences and split words into subword units.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used four commonly-used benchmarks, including IT, Koran, Medical, and Law.

The dataset used for the experiments of simultaneous neural machine translation.

The dataset used for the experiments of simultaneous neural machine translation.

The dataset used for the experiments of simultaneous neural machine translation.

The IWSLT 2015 English-Vietnamese language data set, which has around 133k training sentence pairs.

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.

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