Funded Projects › FP7
ACCEPT · Automated Community Content Editing PorTal
The use of machine translation (MT) is becoming much more pervasive. At the same time, Web 2.0 paradigms are democratising content creation - stressing the value of communities of users creating content for each other. However, right now these two trends are fairly incompatible. MT engines, even statistical engines, cannot produce acceptable results for community content due to the extreme variability within the content. The ACCEPT project will address this issue by developing new technologies designed specifically to help MT work better in this environment. The approach consists of three main avenues of research and development: new paradigms for minimally intrusive" pre-editing content
Consortium · 5 organisations
UNIVERSITE DE GENEVE
CH · €375,417
NORTONLIFELOCK IRELAND LIMITED
IE · €367,086
EUROTEXTE SARL
FR · €261,288
ACROLINX GMBH
DE · €312,399
THE UNIVERSITY OF EDINBURGH
UK · €508,810
Research fields
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