Current projects


Within the project, we are involved in “Spoke 2 – Integrative AI” which aims to provide theoretical and experimental evidence of the advantages of Integrative AI.

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The project aims to develop the ‘AI4Culture platform’, an online capacity building hub for the application of artificial intelligence technologies in the cultural heritage sector.

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Amazon Research Award

Bias Mitigation and Gender Neutralization Techniques  for  Automatic Translation

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CINECA ISCRA-B Scalable Computing Project on Models for the Automatic Generation of Interlingual Subtitles

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Una Proposta del Sistema Trentino della Ricerca e dell’Innovazione

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Closed projects


Developing technology and processes to preserve European broadcast archives.

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Smart Sub tling and Dubbing System

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In the DireSTI (Direct Speech Translation for Interpreters) project, approved by CINECA in 2021 (CALL 24B – 10/2021), we focused on applying speech-translation (ST) technology to the interpreting sector.

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Neotec Smarterp

The goal of the Neotec Smarter Interpreting project was to provide interpreters with the possibility to benefit from suggestions obtained from direct ST models during simultaneous interpretation sessions. Toward this goal, we...

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eBay Sponsorship

Our unit is glad to acknowledge a financial gift from eBay Inc. to Marcello Federico for the support to research in machine translation by his PhD students during 2015.

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Translated Sponsorship

We are glad to acknowledge a gift by Translated Srl to Marcello Federico in order to support PhD students working on open source projects during 2016. Funding: Financial gift

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PF-Star (Preparing Future Speech Translation Research)

The PF-STAR project intended to contribute to establish future activities in the field of multisensorial and multilingual communication (interface technologies) on firmer bases by providing technological baselines, comparative evaluations, and assessment of prospects of core technologies, which future research and development efforts can build from.

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Progetto per lo sviluppo di un servizio di previsione meteorologica transfrontaliera e congiunta per i tre territori del Tirolo, dell’Alto Adige e del Trentino su un unico sito web

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CoreTex: Improving Core Speech Recognition Technology

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PATExpert (Advanced Patent Document Processing Techniques)

PATExpert developed a multimedia content representation formalism based on Semantic Web technologies for selected technology areas and investigate the retrieval, classification, multilingual generation of concise patent information, assessment and visualization of patent material encoded in this formalism, taking the information needs of all user types as defined in a user typology into account.

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The project EDAMOK (Enabling Distributed and Autonomous Management of Knowledge) aims at promoting a distributed approach to knowledge management

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Meteo Trentino

Meteo Trentino and FBK started a collaboration in 2009 with the goal of developing a translation system for weather forecast bulletin.

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MosesCore aims to encourage the development and usage of open source machine translation tools.

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QT21 (Quality Translation 21)

QT21 is a European research and innovation initiative to develop improved machine translation models for challenging languages and scenarios, focusing on scalability and minimizing reliance on data, while incorporating continuous learning and evaluation guided by human translators.

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‼️ *Paper, code, models, and outputs out* for one of our last papers "AlignAtt" about Simultaneous Speech Translation recently published at #Interspeech2023!

📍Official Paper:
📍Repo (code, etc.):

#NLProc #NLP #speech #translation

Our pick of the week by @apierg: "Prompt-Driven Neural Machine Translation" by Li et al., Findings ACL 2022.

#machine #translation #MT #NLP #NLProc #ACL #computational #linguistics #prompt

The call for diversity and inclusion (D&I) subsidies for #EMNLP2023 is online!
EMNLP 2023 is providing D&I funds for registration, caregiving, bandwidth, travel and VPN subsidies.

Deadline: October 20, 2023 11:59pm (Anywhere on Earth)


One of the very first multilingual and multimodal model to obtain performance competitive with dedicated models, maybe the first of many? Anyway, a very interesting read:

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