Corpora

EC Short Clips is a test set dedicated to evaluate automatic subtitling systems.

EuroParl Interviews is a test set dedicated to evaluate automatic subtitling systems.

MuST-SHE: a multilingual benchmark allowing for a fine-grained analysis of gender bias in Machine Translation and Speech Translation.

MuST-SHE: a multilingual benchmark allowing for a fine-grained analysis of gender bias in Machine Translation and Speech Translation.

Speech-to-Subtitles corpus

Multilingual benchmark built from European Parliament speeches and annotated with Named Entities and Terminology

Ready-to-use version for MT research purposes of the multilingual transcriptions of TED talks

Annotation of dubbing segments based on the Heroes corpus

This multilingual dataset was created within the TOSCA-MP project as ground truth data for the evaluation of automatic transcription and spoken language translation technologies.

MuST-C validation set specifically designed to train ST systems for experiments on gender translation.

MuST-Speakers is a resource designed to i) foster research around gender bias in speech translation (ST) and machine translation (MT), and ii) facilitate the development of gender-enhanced translation models.

The largest freely-available Synthetic Corpus for Automatic Post-Editing