Current projects

FAIR: FUTURE AI RESEARCH

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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AI4CULTURE

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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MAGIS

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

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Closed projects

AI@TN

A project by “Sistema Trentino della Ricerca e dell’Innovazione”

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DireSTI

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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Europeana Subtitled

Tool for supporting professional and non-professional audiences in the subtitling of historical audiovisual materials

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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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TINIA

Project for the development of a cross-border and joint weather forecasting service for the three territories of Tyrol, South Tyrol, and Trentino on a single website.

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Matesub

Tool for supporting professionals in the subtitling workflow.

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CEF-DMP

Infrastructure to support the Data Market Place

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SSDS

Smart Sub tling and Dubbing System

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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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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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ModernMT

A neural adaptive machine translation system that adapts to context and learns from corrections.

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MosesCore

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

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EU-Bridge (Bridges Across the Language Divide)

EU-BRIDGE aims at developing automatic transcription and translation technology that will permit the development of innovative multimedia captioning and translation services of audiovisual documents between European and non-European languages.

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EXCITEMENT

EXploring Customer Interactions through Textual EntailMENT

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TOSCA-MP

Task-oriented search and content annotation for media production

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Aineva

Automatic translation of bulletins into English, French and German.

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EuroMatrixPlus

Bringing Machine Translation for European Languages to the User

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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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FLaReNet (Fostering Language Resources Network)

FLaReNet aims at developing a common vision of the area and fostering a European strategy for consolidating of Language Resources and Language Technologies, thus enhancing competitiveness at EU level and worldwide.

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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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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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TC-STAR

Technology and Corpora for Speech to Speech Translation

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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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EDAMOK

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

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PRESTO

Developing technology and processes to preserve European broadcast archives.

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Coretex

CoreTex: Improving Core Speech Recognition Technology

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ECHO

The project develops and demonstrates an open architecture approach to distributed digital film archive services.

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TAL

Trattamento Automatico della Lingua Italiana.

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FACILE

Fast and Accurate Categorization of Information by Language Engineering

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📢 Proud to announce that our @mgaido91 has won the 2023 @EAMTee best Phd thesis award with his work on “Direct speech translation toward high-quality, inclusive, and augmented systems". 💯👏

👇Thesis: https://iris.unitn.it/handle/11572/374507

👇About the award: https://eamt.org/2024/04/17/2023-anthony-c-clarke-award-for-the-eamt-best-thesis-awardee-announcement/

#NLProc

🚨 The industry track call for papers for #EMNLP2024 is now out!

Deadline: July 18th, 2024

We welcome submissions from industry groups on a wide variety of topics, please see the CfP for details!

We just released our first set of #LLMs of the #Minerva family, #pretrained from scratch on #English and #Italian, 500 billion words, 350M to 3B parameters. #FAIR @fondazione_fair and @Cineca1969! Documentation and transparency first! https://www.ansa.it/amp/osservatorio_intelligenza_artificiale/notizie/approfondimenti/2024/04/23/ecco-minerva-la-prima-famiglia-di-llm-addestrati-da-zero-in-italiano_ac6cc4b0-6c65-4cef-a7e3-dfca7bc3c2c4.html

Our pick of the week by @lina_conti: "An image speaks a thousand words, but can everyone listen? On translating images for cultural relevance" by @simi_97k, @Sathya8NR, @yueqi_song, and @gneubig.

#translation #image #culture #LLM

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