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. |