| A Generic Phrase Training Procedure | 15: Discriminatively train feature weights N, and threshold 7' |
| Discussions | The parameter controlling the degree of attenuation in BLT is also optimized together with other feature weights . |
| Experimental Results | These feature weights are tuned on the dev set to achieve optimal translation performance using downhill simplex method. |
| Experimental Results | Once we have computed all feature values for all phrase pairs in the training corpus, we discriminatively train feature weights Aks and the threshold 7' using the downhill simplex method to maximize the BLEU score on 06dev set. |
| Experimental Results | Since the translation engine implements a log-linear model, the discriminative training of feature weights in the decoder should be embedded in the whole end-to-end system jointly with the discriminative phrase table training process. |