we can compile neural network alignment model (but not tested)
renamed from nn_alignment to nn_hmm
randomized initialization from Glorot and Bengio, 2010
bugfix for memorizing paths
dump OOV information
renamed to oov
perform clipping for parameters
modified nn lexicon
skip when no alignment found
use of htanh for stability
bugfix for null alignment
tweaked default parameters
use of hinge-loss for classification loss
use of beam search based implementation
revised modeling
implemented hmm modeling: TODO better sampling from lexical probabilities
removed unused codes
implemented cutoff in lexicon encoding + tweaks for mathop
use of dictionary data structure to narrow down potential translations
bugfix for UNK handling when computing dictionary