CLARA
Common Language Resources and their Applications
| Coordinatore | UNIVERSITETET I BERGEN
Organization address
address: Museplassen 1 contact info |
| Nazionalità Coordinatore | Norway [NO] |
| Totale costo | 3˙613˙919 € |
| EC contributo | 3˙613˙919 € |
| Programma | FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
| Code Call | FP7-PEOPLE-ITN-2008 |
| Funding Scheme | MC-ITN |
| Anno di inizio | 2009 |
| Periodo (anno-mese-giorno) | 2009-12-01 - 2014-03-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
UNIVERSITETET I BERGEN
Organization address
address: Museplassen 1 contact info |
NO (BERGEN) | coordinator | 719˙055.00 |
| 2 |
MAX PLANCK GESELLSCHAFT ZUR FOERDERUNG DER WISSENSCHAFTEN E.V.
Organization address
address: Hofgartenstrasse 8 contact info |
DE (MUENCHEN) | participant | 581˙772.00 |
| 3 | KOBENHAVNS UNIVERSITET | DK | participant | 514˙312.00 |
| 4 |
EBERHARD KARLS UNIVERSITAET TUEBINGEN
Organization address
address: GESCHWISTER-SCHOLL-PLATZ contact info |
DE (TUEBINGEN) | participant | 413˙912.00 |
| 5 |
HELSINGIN YLIOPISTO
Organization address
address: YLIOPISTONKATU 4 contact info |
FI (HELSINGIN YLIOPISTO) | participant | 333˙932.00 |
| 6 |
UNIVERZITA KARLOVA V PRAZE
Organization address
address: Ovocny trh 5 contact info |
CZ (PRAHA 1) | participant | 328˙167.00 |
| 7 |
TILDE SIA
Organization address
address: VIENIBAS GATVE 75 A contact info |
LV (RIGA) | participant | 307˙836.00 |
| 8 |
NORGES HANDELSHOYSKOLE
Organization address
address: HELLEVEIEN 30 contact info |
NO (BERGEN) | participant | 228˙607.00 |
| 9 |
UNIVERSIDAD POMPEU FABRA
Organization address
address: PLACA DE LA MERCE 10-12 contact info |
ES (BARCELONA) | participant | 186˙326.00 |
Mappa
Word cloud
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
Obiettivo del progetto (Objective)
'CLARA will train a new generation of linguistic experts who will be able to cooperate across national boundaries on the establishment of a common language resources infrastructure and its exploitation for the construction of the next generation of language models with wide theoretical and applied significance. The scientific objectives of the CLARA research context are twofold: 1. to develop the next generation of data-intensive language models and applications by integrating approaches across language and country boundaries; 2. to contribute to the establishment of a pan-European infrastructure for language resources. CLARA will supplement basic research competencies in the language and text sciences with specialized knowledge and skills in computer science, knowledge engineering, databases, statistical processing and language and speech applications. Participation in advanced research at leading universities will be complemented with additional training at industrial partners contributing to careers in industry.'
Introduzione (Teaser)
A new generation of linguistic experts trained in the creation of a common language resources infrastructure help construct language models with broad theoretical and applied significance.
Descrizione progetto (Article)
Access to state-of-the-art methods and advanced courses in advanced common language resources for researchers has been lacking in Europe. The EU-funded 'Common language resources and their applications' (http://clara.b.uib.no (CLARA)) project worked to turn things around.
Doing so involved creating evolutionary data-intensive language models by integrating approaches across boundaries of country and language. Also on the agenda was founding a pan-European infrastructure for language courses.
Twenty researches were trained locally on the job and through training programmes. A unique interdisciplinary approach was employed based on linguistics and humanities and crossing over to the sciences and statistics.
CLARA achieved its main goals, which were many, and did so throughout prestigious universities across the EU. Some of these achievements include machine learning systems to speed up multimedia annotation, improved searching in video dialogues, and a new method for the classification of semantic relations.
Ten international thematic training events were planned and made available to external researchers and participating institutions in other countries.
Results can be applied for promoting communication with the use of natural language in the digital age. They also allow the use of multilingual technologies services to help bring people together through personal and business communication.