other,32-3-P05-1069,bq |
binary features
</term>
based on the
<term>
|
block
|
</term>
identities themselves , e.g. block
|
#9617
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. |
model,1-2-P05-1069,bq |
machine translation ( SMT )
</term>
. The
<term>
|
model
|
</term>
predicts
<term>
blocks
</term>
with
|
#9574
The model predicts blocks with orientation to handle local phrase re-ordering. |
measure(ment),10-5-P05-1069,bq |
obtains a 18.6 % improvement over the
<term>
|
baseline
|
</term>
on a standard
<term>
Arabic-English
|
#9646
The best system obtains a 18.6% improvement over the baseline on a standard Arabic-English translation task. |