| other,20-3-P05-1069,bq | real-valued features </term> ( e.g. a <term> | language model score | </term> ) as well as <term> binary features | #9605 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. |
| other,3-3-P05-1069,bq | phrase re-ordering </term> . We use a <term> | maximum likelihood criterion | </term> to train a <term> log-linear block | #9588 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. |
