106 datasets found

The Machine Translation and Automated Analysis of the Sumerian Language dataset, which contains Sumerian texts in cuneiform script.

English-German Multi30K dataset

The dataset used in the paper is the WMT18 data.

The Basque-English dataset (eu-en) has been collected from the WMT16 IT-domain translation shared task.

The Czech-English dataset (cs-en) is also from the IWSLT 2016 TED talks translation task.

The English-French dataset (en-fr) has been sourced from the IWSLT 2016 translation shared task.

Four different language pairs have been selected for the experiments. The datasets' size varies from tens of thousands to millions of sentences to test the regularizers' ability...

The dataset used for testing the DocRepair model, containing 30m groups of 4 consecutive sentences in English and Russian.

The dataset is used for document-level neural machine translation. It contains 0.23M training sentences, 0.31M development sentences, and 0.21M test sentences.

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

The dataset used in the paper is WMT16 DE↔EN.

Multilingual Neural Machine Translation datasets

The dataset used in the paper to analyze the translation of 3rd-person pronouns in commercial machine translation systems.

Tatoeba and IWSLT2014 datasets for machine translation.

Simultaneous machine translation (SMT) datasets for Tatoeba and IWSLT2014.

Diffusion models have achieved state-of-the-art synthesis quality on both visual and audio tasks, and recent works further adapt them to textual data by diffusing on the...

Translation Given Non-Autoregressive a source sentence x, an AT model generates each target word yt conditioned on previously generated ones y<t, leading to high latency on...

Diffusion models have achieved state-of-the-art synthesis quality on both visual and audio tasks, and recent works further adapt them to textual data by diffusing on the...

Two widely-used resource-rich benchmarks, WMT17 English-Chinese (20M) and WMT19 English-German (36M) translation tasks

Two widely-used resource-rich benchmarks, WMT17 English-Chinese (20M) and WMT19 English-German (36M) translation tasks