This process is repeated until N (w t ) 6 = U nknown or (l;r) = ( 0 ; 0).
to make the same set of connection weights of the neuro tagger with the largest (l;r) a v ailable as much a s possible when using short inputs for tagging, in training phase the neuro tagger is regarded as a neural network that has gradually grown from small one.