FAUST
Feedback Analysis for User adaptive Statistical Translation
| Coordinatore | THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Organization address
address: Mill Lane 16 contact info |
| Nazionalità Coordinatore | United Kingdom [UK] |
| Totale costo | 3˙761˙436 € |
| EC contributo | 2˙850˙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) | 2010-02-01 - 2013-01-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Organization address
address: Mill Lane 16 contact info |
UK (Cambridge) | coordinator | 0.00 |
| 2 |
INSTITUCIO CATALANA DE RECERCA I ESTUDIS AVANCATS FUNDACIO PRIVADA
Organization address
address: PASSEIG LLUIS COMPANYS contact info |
ES (BARCELONA) | participant | 0.00 |
| 3 |
LANGUAGE WEAVER INC. CORP.
Organization address
address: ADMIRALTY WAY 4640 SUITE contact info |
US (MARINA DEL REY) | participant | 0.00 |
| 4 |
LANGUAGE WEAVER SRL
Organization address
address: SENINA STRADA contact info |
RO (CLUJ NAPOCA) | participant | 0.00 |
| 5 |
SOFTISSIMO
Organization address
address: rue Soyer contact info |
FR (Neuilly sur Seine) | participant | 0.00 |
| 6 |
UNIVERSITAT POLITECNICA DE CATALUNYA
Organization address
address: Jordi Girona contact info |
ES (BARCELONA) | participant | 0.00 |
| 7 |
UNIVERZITA KARLOVA V PRAZE
Organization address
address: Ovocny trh contact info |
CZ (PRAHA 1) | participant | 0.00 |
Mappa
Word cloud
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
Obiettivo del progetto (Objective)
The FAUST project will develop machine translation (MT) systems which respond rapidly and intelligently to user feedback. Current web-based MT systems provide high-volume translation without real-time. Most systems provide no opportunity for users to offer opinions or corrections for translation results. Other systems ask users for feedback on translation, however the user does not see any benefit to providing feedback: the translation does not change in response to the feedback. Our goal is to develop high-volume translation systems capable of adapting to user feedback in real-time.nnWe will build on the current leading commercial statistical MT systems developed by Language Weaver and deployed by Softissimo Inc at Reverso.net. Our research will be based on translation in five bidirectional language pairs in these EU official languages: Czech-English, French-English, Romanian-English, Spanish-English, and Spanish-Catalan. We will also study translation from Arabic and Chinese into English. The systems we develop will be used directly by users at the Reverso.net website. We will develop novel feedback collection mechanisms which encourage users to interact with the systems and to provide feedback. In this way we will collect the data, in the form of user judgements of translation quality and feedback for translation correction, which will guide our research.nnOur objectives are to :nEnhance the high-volume, Reverso.net translation website with an experimental and evaluation infrastructure that will enable the study of instantaneous user feedback in MT.nnDeploy novel web-oriented, feedback collection mechanisms that reduce noise in feedback provided by users and increase the utility of the web contributions.nnAutomatically acquire novel data collections to study translation as informed by user feedback.nDevelop mechanisms for instantaneously incorporating user feedback into the machine translation engines that are used in production environments, such as those that power the Reverso.net website.nnCreate novel automatic metrics of translation quality which reflect preferences learned from user feedback.nDevelop new translation models driven by user feedback data and integrate natural language generation directly into MT to improve translation fluency and reduce negative feedback from users.