| other,27-3-P05-1069,bq | language model score </term> ) as well as <term> | binary features | </term> based on the <term> block </term> identities | #9612 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,15-3-P05-1069,bq | block bigram model </term> which uses <term> | real-valued features | </term> ( e.g. a <term> language model score | #9600 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. |
