1 https://github.com/redpony/cdec The great promise of discriminative training for SMT is the possibility to design arbitrarily expressive, complex, or overlapping features in great numbers.
for example, both rules (1) and 2map to the same indicator, namely that a rule is being used that consists of a (NT, term*, NT, term*) pattern on its source side, and an (NT, term*, NT) pattern on its target side.