FBK-Fairseq
Open source repository with the code and models used in recent papers
Read Moreby Marco Gaido | May 17, 2024 | Software | 0
Open source repository with the code and models used in recent papers
Read Moreby Marco Gaido | May 17, 2024 | Software | 0
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...
Read Moreby Marco Gaido | May 17, 2024 | Software | 0
pangolinn is a Python library for neural network developers that contains test suites aimed at...
Read Moreby Matteo Negri | May 30, 2023 | Software | 0
A neural adaptive machine translation system that adapts to context and learns from corrections
Read Moreby Dennis Fucci | May 30, 2023 | Software | 0
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.
Read Moreby Andrea Piergentili | May 30, 2023 | Software | 0
An extension of MGIZA++, which allows to align sentence pair in an online mode.
Read Moreby Dennis Fucci | May 30, 2023 | Software | 0
The IRST Language Modeling (IRSTLM) Toolkit features algorithms and data structures suitable to estimate, store, and access very large n-gram language models.
Read Moreby Dennis Fucci | May 30, 2023 | Software | 0
Moses is a statistical machine translation system that allows you to automatically train translation models for any language pair.
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SHADES: a global dataset to uncover AI bias
Over 50 researchers, 16 languages, thousands of interactions analysed: the international SHADES project investigates how generative language models (LLM) reproduce and amplify cultural stereotypes
◾https://magazine.fbk.eu/en/news/shades-the-new-global-dataset-to-monitor-as-ai-reproduces-and-invents-cultural-stereotypes/
🎉 Excited to share our paper “Different Speech Translation Models Encode and Translate Speaker Gender Differently” was accepted at #ACL2025 (main)!
✍🏼 Big thanks to amazing co-authors: @mgaido91, @negri_teo, @luisabentivogli, @andre_t_martins, @peppeatta!
📄 Preprint out soon!
🎉 Excited to share that our @sarapapi has won the 2024 Best PhD Award from the Information and Engineering Doctoral School at @UniTrento_DISI for her thesis “Direct Speech Translation in Constrained Contexts: The Simultaneous and Subtitling Scenarios.”
#nlproc @FBK_research
🎉 Excited to share that our @sarapapi has won the 2024 Best PhD Award from the Information and Engineering Doctoral School at @UniTrento_DISI for her thesis “Direct Speech Translation in Constrained Contexts: The Simultaneous and Subtitling Scenarios.”
#nlproc @FBK_research