Corpora

mGeNTE

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...

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MOSEL

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...

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Speech-MASSIVE

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...

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INES

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...

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GeNTE

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,...

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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. 🎥🎤🤖

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:

The new @iwslt shared task on instruction following speech models is out! Test sets will be available on the 1st of April and participants have to submit their models by April 15th. Check out the description for more info (or get in touch with us):

📢First Call for Papers 📢
The 22nd @iwslt event will be co-located with @aclmeeting
31 July-1 August 2025 –Vienna, Austria
Scientific submission due March 15, 2025
More details here:
@marcfede @esalesk @ELRAnews @shashwatup9k @MarineCarpuat @_janius_

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