ACCURAT
Analysis and Evaluation of Comparable Corpora for Under Resourced Areas of Machine Translation
| Coordinatore | TILDE SIA
Organization address
address: VIENIBAS GATVE 75 A contact info |
| Nazionalità Coordinatore | Latvia [LV] |
| Totale costo | 3˙552˙032 € |
| EC contributo | 2˙825˙000 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-ICT-2009-4 |
| Funding Scheme | CP |
| Anno di inizio | 2010 |
| Periodo (anno-mese-giorno) | 2010-01-01 - 2012-06-30 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
TILDE SIA
Organization address
address: VIENIBAS GATVE 75 A contact info |
LV (RIGA) | coordinator | 0.00 |
| 2 |
ATHENA RESEARCH AND INNOVATION CENTER IN INFORMATION COMMUNICATION & KNOWLEDGE TECHNOLOGIES
Organization address
address: G. ANASTASIOU contact info |
EL (ATHINA) | participant | 0.00 |
| 3 |
DEUTSCHES FORSCHUNGSZENTRUM FUER KUENSTLICHE INTELLIGENZ GMBH
Organization address
address: Trippstadter Strasse contact info |
DE (KAISERSLAUTERN) | participant | 0.00 |
| 4 |
INSTITUTUL DE CERCETARI PENTRU INTELIGENTIA ARTIFICIALA
Organization address
address: 13 Septembrie 13 contact info |
RO (BUCHAREST) | participant | 0.00 |
| 5 |
LINGUATEC GMBH
Organization address
address: GOTTFRIED-KELLER-STRASSE contact info |
DE (MUENCHEN) | participant | 0.00 |
| 6 |
SVEUCILISTE U ZAGREBU FILOZOFSKI FAKULTET - UNIVERSITY OF ZAGREB, FACULTY OF HUMANITIES AND SOCIAL SCIENCES
Organization address
address: Ivana Lucica contact info |
HR (ZAGREB) | participant | 0.00 |
| 7 |
THE UNIVERSITY OF SHEFFIELD
Organization address
address: Western Bank, Firth Court contact info |
UK (SHEFFIELD) | participant | 0.00 |
| 8 |
UNIVERSITY OF LEEDS
Organization address
address: Woodhouse Lane contact info |
UK (LEEDS) | participant | 0.00 |
| 9 |
ZEMANTA PAMETNE SPLETNE STORITVE INSVETOVANJE DOO
Organization address
address: Pugljeva ulica contact info |
SI (Ljubljana) | participant | 0.00 |
Mappa
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Obiettivo del progetto (Objective)
Lack of sufficient linguistic resources for many languages and domains currently is one of the major obstacle in further advancement of automated translation. The main goal of the ACCURAT research is to find, analyze and evaluate novel methods how comparable corpora can compensate for this shortage of linguistic resources to improve MT quality significantly for under-resourced languages and narrow domains.nThe ACCURAT project will provide researchers and developers with novel methodology and fully functional model for exploiting comparable corpora to increase translation quality of existing and emerging MT systems.nWe will determine criteria to measure the comparability of texts in comparable corpora. Methods for automatic acquisition of a comparable corpus from the Web will be analyzed and evaluated. Advanced techniques will be elaborated to extract lexical, terminological and other linguistic data from comparable corpora to provide training and customization data for MT. Improvements from applying acquired data will be measured against baseline results from MT systems and validated in practical applications.nACCURAT will provide novel approaches to achieve high quality MT translation for a number of under-resourced EU languages (e.g. Estonian, Croatian) and to adapt existing MT technologies to narrow domains (e.g. automotive engineering), significantly increasing the language and domain coverage of MT. ACCURAT methods will be universal and adaptable to new languages and domains.nThe project consortium has an optimum balance of world-class researchers in all key research areas and industry SME participants ensuring maximum orientation to exploitation needs.nThe ACCURAT will provide contribution for expected impacts of the Call by providing methods for automatic acquisition and annotation of language resources, removing gaps in language coverage and increasing quality of translation and providing methods for automated translation to make it more adaptive.