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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🎉We’re happy to welcome our new research engineer, Yiu Chung Leung, joining us to work on multimodal LLMs with a focus on speech. Excited for what’s ahead! 🚀

With @MalvinaNissim and @VivianaPatti, we've been teaching ethics in NLP as a hands-on course across Groningen, Pavia & Turin. We wrote up the experience and received the ✨Best Paper Award✨ at #EACL2026's TeachNLP Workshop. Huge thanks to the organizers and all our students!

📢Thrilled to welcome our new postdoc, @aissawafa94! Looking forward to working together on trustworthy and responsible language technologies 🚀

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