Machine Translation


Chimera, a hybrid Machine Translation system which are being developed at the Institute of Formal and Applied Linguistics, combines a deep-syntactic transfer-based system TectoMT, very large parallel and monolingual data in a Moses factored setup to ensure morphological coherence, and finally Depfix, a rule-based automatic post-editing system that corrects grammaticality (agreement and valency) of the output as well as some features vital for adequacy, namely lost negation. The system has already proved that it can succesfully compete with best Machine Translation systems    [learn more].


Other MT Projects