Corpora

mGeNTE

by Beatrice Savoldi | Jan 13, 2025 | Corpora | 0

mGeNTE (Multilingual Gender-Neutral Translation Evaluation) is a natural, multilingual corpus designed to benchmark gender-neutral language and automatic translation.mGente is built upon European Parliament speech data extracted...

MOSEL

by Sara Papi | Oct 31, 2024 | Corpora | 0

The MOSEL corpus is a multilingual dataset collection including up to 950K hours of open-source speech recordings covering the 24 official languages of the European Union. We collect data by surveying labeled and unlabeled...

Speech-MASSIVE

by Beomseok Lee | Aug 21, 2024 | Corpora | 0

Spoken Language Understanding (SLU) involves interpreting spoken input using Natural Language Processing (NLP). Voice assistants like Alexa and Siri are real-world examples of SLU applications. The core tasks in SLU include...

WAGS

by Mauro Cettolo | Apr 30, 2024 | Corpora | 0

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

GenderCrawl

by Dennis Fucci | Oct 20, 2023 | Corpora | 0

Text corpora for Spanish, French, and Italian containing gendered words referring to the first-person speaker

INES

by Beatrice Savoldi | Oct 19, 2023 | Corpora | 1

The INclusive Evaluation Suite (INES) is a test set designed to assess MT systems ability to produce gender-inclusive translations for the German→English language pair. By design, each German source sentence in INES includes an...

GeNTE

by Beatrice Savoldi | Oct 9, 2023 | Corpora | 0

GeNTE (Gender-Neutral Translation Evaluation) is a natural, bilingual corpus designed to benchmark the ability of machine translation systems to generate gender-neutral translations. Built from European Parliament speeches,...

EC Short Clips

by Marco Gaido | Jul 7, 2023 | Corpora | 0

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

EuroParl Interviews

by Marco Gaido | Jul 7, 2023 | Corpora | 0

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

NEuRoparl-ST

by Matteo Negri | Jun 1, 2023 | Corpora | 0

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

Heroes-ON-OFF

by Mauro Cettolo | May 30, 2023 | Corpora | 0

Annotation of dubbing segments based on the Heroes corpus

TOSCA-MP SPEECH GROUND TRUTH

by Beatrice Savoldi | May 30, 2023 | Corpora | 0

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.

MT Group at FBK Follow

#MachineTranslation Research Unit @FBK_research. #nlproc #deeplearning #ai

MT Group at FBK @fbk_mt ·

16 Jan

🙌🏼 Excited to share our work on Speech Foundation Model for data crowdsourcing at COLING 2025 🙌🏼

Our co-author Laurent Besacier (@laurent_besacie) at NAVER LABS Europe will be presenting -- don't miss it.

👉🏼 Details: https://mt.fbk.eu/1-paper-accepted-at-coling-2025

Reply on Twitter 1879816343329075267 Retweet on Twitter 1879816343329075267 6 Like on Twitter 1879816343329075267 20 Twitter 1879816343329075267

Retweet on Twitter MT Group at FBK Retweeted

Sara Papi @sarapapi ·

15 Jan

Exciting news: @iwslt is co-located with #ACL2025NLP again this year! 🎉
Interested in speech processing? Check out the new task on instruction following — any model can participate! 🚀
📅 Data release: April 1
⏳ Submission deadline: April 15
Don’t miss it! 💬 #NLP #SpeechTech

Reply on Twitter 1879595901091819825 Retweet on Twitter 1879595901091819825 13 Like on Twitter 1879595901091819825 52 Twitter 1879595901091819825

Retweet on Twitter MT Group at FBK Retweeted

Meetween @meetweeneu ·

9 Jan

Weekly pick from the #MeetweenScientificWatch: “Video-SALMONN: Speech-enhanced audio-visual large language models” – Redefining video comprehension with speech-aware AV-LLMs and groundbreaking QA accuracy. 🎥🎤🤖

Reply on Twitter 1877306000920691113 Retweet on Twitter 1877306000920691113 2 Like on Twitter 1877306000920691113 6 Twitter 1877306000920691113

Retweet on Twitter MT Group at FBK Retweeted

Sara Papi @sarapapi ·

27 Dec

I’m glad to announce that our work “How "Real" is Your Real-Time Simultaneous Speech-to-Text Translation System?” has been accepted at the Transactions of @aclanthology (TACL)! 🎉

The preprint is available here:

Reply on Twitter 1872646328842678292 Retweet on Twitter 1872646328842678292 15 Like on Twitter 1872646328842678292 72 Twitter 1872646328842678292