The Machine Translation group at Fondazione Bruno Kessler specializes in speech and text technologies for multilingual communication. We work on innovative neural architectures and multimodal resources for a range of topics and applications (e.g. subtitling, interpreting, gender inclusivity). We are part of the Digital Industry center.
If you are fascinated by languages, cutting edge technology and research challenges, check out our Join Us page!
2 New PhD Positions to start in 2026
Apr 22, 2026 | News
Celebrating Beomseok LEE’s PhD Defense 🎓
Apr 24, 2026
🎓 Congratulazioni, dottore!Yesterday, Beomseok LEE successfully defended his PhD thesis,...
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Sara Papi at ICLR 𝟮𝟬𝟮𝟲 🇧🇷
Apr 22, 2026
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Celebrating Andrea Piergentili’s PhD Defense 🎓
Apr 20, 2026
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Best Paper Award at TeachNLP 2026
Apr 2, 2026
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🎓 Come and join our group! 🎓
We offer 2 fully funded PhD positions:
🌍 Human-Centred Evaluation Frameworks for Multilingual Technologies (A6)
🤖 Multimedia Personalization with Multimodal Large Language Models (A7)
⏰ Deadline: 15 May 2026
🔗 Details: https://iecs.unitn.it/education/admission/call-for-application
Our pick of the week by
@FBKZhihangXie
: "Detecting Hallucination in SpeechLLMs at Inference Time Using Attention Maps" by @JWaldendorf, Bashar Awwad Shiekh Hasan and Evgenii Tsymbalov
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#SpeechLLM #Hallucination
🚀 New paper: Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps
📄 http://arxiv.org/abs/2604.19565
🧩 Lightweight inference-time detection for SpeechLLM hallucinations via audio attention.
✨ Attention classifiers beat uncertainty baselines on ASR and S2TT.
🚀 New Shared Task: Model Compression for Machine Translation at #WMT2026 (co-located with #EMNLP2026)!
📅 Test data out on June 18th, submissions by July 2nd!
Can you shrink an LLM and keep translation quality high? 🧠🔧
👉 https://www2.statmt.org/wmt26/model-compression.html #NLP #ML #LLM #ModelCompression