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. |