Software

SubSONAR

SubSONAR evaluates the quality of SRT files using the multilingual multimodal SONAR model. The evaluation accounts for the semantic similarity (computed as a cosine similarity) between each subtitle block and the corresponding...

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AQET

AQET (Adaptive Quality Estimation Tool) is an open-source package for performing Quality Estimation for Machine Translation able to continuously learn from post-edited sentences.

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IRSTLM

The IRST Language Modeling (IRSTLM) Toolkit features algorithms and data structures suitable to estimate, store, and access very large n-gram language models.

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MOSES

Moses is a statistical machine translation system that allows you to automatically train translation models for any language pair.

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🚀 New tech report out! Meet FAMA, our open-science speech foundation model family for both ASR and ST in 🇬🇧 English and 🇮🇹 Italian.

The models are live and ready to try on @huggingface 👇
🔗

#ASR #ST #OpenScience #MultilingualAI

🚀 New shared task at #WMT2025 (co-located with @emnlpmeeting ): Model Compression for Machine Translation!
Can you shrink an LLM and keep translation quality high?🔧
Submit by July 3 and push the limits of efficient NLP!
👉 https://www2.statmt.org/wmt25/model-compression.html #NLP #ML #LLM #ModelCompression

More great news! 🎉
Our paper “Echoes of Phonetics: Unveiling Relevant Acoustic Cues for ASR via Feature Attribution” was accepted at #Interspeech2025!

Interested in interpretability for speech models? Preprint coming soon!

✍🏼 @mgaido91, @negri_teo, M.Cettolo, @luisabentivogli

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