12 datasets found

The dataset used in the paper is the WAT2015 translation task from Japanese (ja) to/from English (en) and Chinese (zh).

The dataset used for building the NMT model, which is a German-to-English parallel corpus.

The ArzEnSEG corpus is a morphologically annotated dataset for code-switched Egyptian Arabic-English.

The ArzEn parallel corpus consists of speech transcriptions gathered through informal interviews with bilingual Egyptian Arabic-English speakers, as well as their English...

The dataset for English-to-Chinese controlled machine translation.

The dataset for English controlled machine translation.

The dataset used for the Second Workshop on Neural Machine Translation and Generation

KFTT English↔Japanese translation datasets.

Chinese↔English translation tasks, KFTT English↔Japanese translation datasets.

The dataset used in the paper is the WIT corpus, SETimes corpus, newsdev2016, newstest2016, and newstest2017.

The dataset used in the paper is the Turkish-English and Uyghur-Chinese machine translation tasks.

The IWSLT 2014 German-to-English dataset is a machine translation dataset, containing 153K sentence pairs.