Transfer-Driven Machine Translation (TDMT) is presented as a method which drives the translation processes according to the nature of the input. In TDMT, transfer knowledge is the...
We have proposed an incremental translation method in Transfer-Driven Machine Translation (TDMT). In this method, constituent boundary patterns are applied to an input in a bottom...
This paper proposes a model using associative processors (APs) for real-time spoken language translation. Spoken language translation requires (1) an accurate translation and (2) ...