2 However, if we go through the coordinate ascent procedure without finding a better set of feature weights, then we do not have to perform the last iteration of nbest decoding, because it will necessarily produce the same n-best lists as the previous iteration, as long as the decoder is deterministic.
we can terminate the overall procedure if either we either fail to generate any new hypotheses in n-best decoding, or the optimium set of feature weights does not change in the coordinate ascent phase of training.