Errors in machine translations of English-Iraqi Arabic dialogues were analyzed at two different points in the systems development using HTER methods to identify errors and human a...
Sherri L. Condon, Dan Parvaz, John S. Aberdeen, Ch...
This paper proposes to use monolingual collocations to improve Statistical Machine Translation (SMT). We make use of the collocation probabilities, which are estimated from monoli...
We explore how to improve machine translation systems by adding more translation data in situations where we already have substantial resources. The main challenge is how to buck ...
The LOGON MT demonstrator assembles independently valuable general-purpose NLP components into a machine translation pipeline that capitalizes on output quality. The demonstrator ...