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