| model,9-3-P05-1069,bq | likelihood criterion </term> to train a <term> | log-linear block bigram model | </term> which uses <term> real-valued features | #9594 We use a maximum likelihood criterion to train a log-linear block bigram model which uses real-valued features (e.g. a language model score) as well as binary features based on the block identities themselves, e.g. block bigram features. |
