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...
Read Moreby Beatrice Savoldi | Jan 13, 2025 | Corpora | 0
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...
Read Moreby Beomseok Lee | Aug 21, 2024 | Corpora | 0
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...
Read Moreby Mauro Cettolo | Apr 30, 2024 | Corpora | 0
Ready-to-use version for MT research purposes of the multilingual transcriptions of TED talks
Read Moreby Dennis Fucci | Oct 20, 2023 | Corpora | 0
Text corpora for Spanish, French, and Italian containing gendered words referring to the first-person speaker
Read Moreby Beatrice Savoldi | Oct 19, 2023 | Corpora | 1
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...
Read Moreby Beatrice Savoldi | Oct 9, 2023 | Corpora | 0
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,...
Read Moreby Marco Gaido | Jul 7, 2023 | Corpora | 0
EC Short Clips is a test set dedicated to evaluate automatic subtitling systems.
Read Moreby Marco Gaido | Jul 7, 2023 | Corpora | 0
EuroParl Interviews is a test set dedicated to evaluate automatic subtitling systems.
Read Moreby Matteo Negri | Jun 1, 2023 | Corpora | 0
Multilingual benchmark built from European Parliament speeches and annotated with Named Entities and Terminology
Read Moreby Mauro Cettolo | May 30, 2023 | Corpora | 0
Annotation of dubbing segments based on the Heroes corpus
Read Moreby Beatrice Savoldi | May 30, 2023 | Corpora | 0
This multilingual dataset was created within the TOSCA-MP project as ground truth data for the evaluation of automatic transcription and spoken language translation technologies.
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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