#5585This paper presents aphrase-based statistical machine translation method, based on non-contiguous phrases, i.e. phrases with gaps.
other,12-1-H05-1095,ak
translation method
</term>
, based on
<term>
non-contiguous phrases
</term>
, i.e.
<term>
phrases
</term>
with gaps
#5593This paper presents a phrase-based statistical machine translation method, based onnon-contiguous phrases, i.e. phrases with gaps.
other,16-1-H05-1095,ak
non-contiguous phrases
</term>
, i.e.
<term>
phrases
</term>
with gaps . A method for producing
#5597This paper presents a phrase-based statistical machine translation method, based on non-contiguous phrases, i.e.phrases with gaps.
other,5-2-H05-1095,ak
gaps . A method for producing such
<term>
phrases
</term>
from a
<term>
word-aligned corpora
</term>
#5606A method for producing suchphrases from a word-aligned corpora is proposed.
lr,8-2-H05-1095,ak
producing such
<term>
phrases
</term>
from a
<term>
word-aligned corpora
</term>
is proposed . A
<term>
statistical
#5609A method for producing such phrases from aword-aligned corpora is proposed.
model,1-3-H05-1095,ak
word-aligned corpora
</term>
is proposed . A
<term>
statistical translation model
</term>
is also presented that deals such
#5615Astatistical translation model is also presented that deals such phrases, as well as a training method based on the maximization of translation accuracy, as measured with the NIST evaluation metric.
other,10-3-H05-1095,ak
</term>
is also presented that deals such
<term>
phrases
</term>
, as well as a
<term>
training method
#5624A statistical translation model is also presented that deals suchphrases, as well as a training method based on the maximization of translation accuracy, as measured with the NIST evaluation metric.
tech,21-3-H05-1095,ak
training method
</term>
based on the
<term>
maximization
</term>
of
<term>
translation accuracy
</term>
#5635A statistical translation model is also presented that deals such phrases, as well as a training method based on themaximization of translation accuracy, as measured with the NIST evaluation metric.
measure(ment),23-3-H05-1095,ak
on the
<term>
maximization
</term>
of
<term>
translation accuracy
</term>
, as measured with the
<term>
NIST
#5637A statistical translation model is also presented that deals such phrases, as well as a training method based on the maximization oftranslation accuracy, as measured with the NIST evaluation metric.
measure(ment),30-3-H05-1095,ak
accuracy
</term>
, as measured with the
<term>
NIST evaluation metric
</term>
.
<term>
Translations
</term>
are produced
#5644A statistical translation model is also presented that deals such phrases, as well as a training method based on the maximization of translation accuracy, as measured with theNIST evaluation metric.
other,0-4-H05-1095,ak
<term>
NIST evaluation metric
</term>
.
<term>
Translations
</term>
are produced by means of a
<term>
beam-search
#5648A statistical translation model is also presented that deals such phrases, as well as a training method based on the maximization of translation accuracy, as measured with the NIST evaluation metric.Translations are produced by means of a beam-search decoder.
tech,7-4-H05-1095,ak
Translations
</term>
are produced by means of a
<term>
beam-search decoder
</term>
. Experimental results are presented
#5655Translations are produced by means of abeam-search decoder.
lr,17-5-H05-1095,ak
allows to better generalize from the
<term>
training data
</term>
. This paper investigates some
<term>
#5675Experimental results are presented, that demonstrate how the proposed method allows to better generalize from thetraining data.