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.

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.

Bias Mitigation and Gender Neutralization Techniques  for  Automatic Translation

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

Una Proposta del Sistema Trentino della Ricerca e dell’Innovazione

Developing technology and processes to preserve European broadcast archives.

Smart Sub tling and Dubbing System

End-to-end Spoken Language Translation in Rich Data Conditions

Infrastructure to support the Data Market Place

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

Tool for supporting professionals in the subtitling workflow.

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.

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...

EXploring Customer Interactions through Textual EntailMENT

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.

Improvements of automatic transcription technology, speech analytics technologies, and advanced acoustic normalization techniques.

Designing adaptive informatiOn exTraction from text for KnOwledge Management

Fast and Accurate Categorization of Information by Language Engineering

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

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.

Trattamento Automatico della Lingua Italiana.

Intelligent Technologies for Cultural Visits and Mobile Education.

Technology and Corpora for Speech to Speech Translation

Active Digital Memories of Collective Life

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

Developing Multilingual Web-scale Language Technologies

The project concentrated on the access to information contained in very large, unstructured, heterogeneous repositories, on multimodal presentation of information, and on the assessment of the quality of information.

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.

Automatic Translation into Sign Language

CoreTex: Improving Core Speech Recognition Technology

Automatic translation of bulletins into English, French and German.

Ontotext exploits text processing and automatic reasoning technologies based on the philosophy of the Semantic Web to extract knowledge from texts and to organise it conceptually in an ontology.

Task-oriented search and content annotation for media production

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

JUMAS addresses the need to build an infrastructure able to optimise the information workflow in order to facilitate later analysis.

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.

X-Media addresses the issue of knowledge management in complex distributed environments

NESPOLE! System has been developed using two scenarios: the tourism scenario and the first aid medical assistance scenario.

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

A project aimed at automating the dynamic multilingual synchronization process of Wikis.

FAME addressed the problem of integrating multiple communications modalities blending the physical and virtual worlds to provide support for multicultural communication and problem solving.

Bringing Machine Translation for European Languages to the User

PESCaDO offered an interconnected multipurpose environmental user-oriented service for a federated community of citizens, public services (such as tourist offices and environmental institutions), public administrations, and entrepreneurs active in sectors sensitive to environmental conditions.

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

MateCat pushed the new frontier of Computer Assisted Translation (CAT) technology: how to effectively integrate machine translation within the human translation workflow.

The main concept of the project EuroSentiment was to provide a shared language resource pool for fostering sentiment analysis.

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

META-NET is a Network of Excellence dedicated to fostering the technological foundations of a multilingual European information society

The general objective of QALL-ME was to establish a shared infrastructure for multilingual and multimodal open domain Question Answering for mobile phones.

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

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.

CRACKER is a Machine Translation (MT) research initiative involving 7 major universities and research institutions.

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.