81 datasets found

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

The dataset used in this paper is a machine translation dataset, specifically IWSLT-14 DE-EN.

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

KFTT English↔Japanese translation datasets.

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

A new sentence-aligned monolingual corpus for Simple German – German. It contains multiple document-aligned sources which we have aligned using automatic sentence-alignment...

The Samanantar dataset containing 49.6 million sentence pairs between English and 11 Indian languages.

The dataset used for the experiments with document-level metrics for machine translation.

This dataset is used to evaluate the performance of context-aware machine translation systems. It consists of English-Russian subtitles with varying levels of context.

The dataset used for the experiments with document-level metrics for machine translation.

The Covid-19 MLIA @ Eval initiative consists of three Natural Language Processing tasks: information extraction, multilingual semantic search and machine translation. The goal...

The dataset used in the paper is a collection of English ASR hypotheses from the eight submissions on the tst2012 test set in the IWSLT 2013 TED talk ASR track, along with...

A multilingual parallel corpus for low-resource languages

A parallel corpus for low-resource languages

The dataset used in the paper is the news data from China Workshop on Machine Translation in 2017.

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