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

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Interested in speech translation evaluation?

Check out our LREC-COLING paper where we dive into the details, and release human assessments for @iwslt ST models!
Data on HuggingFace🤗

🧑‍🏫: Thurs 9:00-10:40 in Poster Area II

🐾🐾 How do hyenas deal with human speech?

Discover how Hyena can be adapted to understand speech and how well it can transcribe and translate its content!

Visit our poster! The poster session @LrecColing is live now, Area 1!

#LRECCOLING2024 #speech

🐾 Do you wanna see a Hyena in action? 🐾

🥁 Tomorrow @mgaido91 will present the paper "How do Hyenas deal with Human Speech? Speech Recognition and Translation with ConfHyena" at @LrecColing!

⏲️ Poster session 1: 11:00-12:40

🦴 See you there!


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