tech,8-1-N03-1017,bq |
phrase-based translation model
</term>
and
<term>
|
decoding algorithm
|
</term>
that enables us to evaluate and compare
|
#2547
We propose a new phrase-based translation model anddecoding algorithm that enables us to evaluate and compare several, previously proposed phrase-based translation models. |
tech,27-3-N03-1017,bq |
through relatively simple means :
<term>
|
heuristic learning
|
</term>
of
<term>
phrase translations
</term>
|
#2615
Our empirical results, which hold for all examined language pairs, suggest that the highest levels of performance can be obtained through relatively simple means:heuristic learning of phrase translations from word-based alignments and lexical weighting of phrase translations. |
model,12-4-N03-1017,bq |
and learning
<term>
phrases
</term>
from
<term>
|
high-accuracy word-level alignment models
|
</term>
does not have a strong impact on
|
#2642
Surprisingly, learning phrases longer than three words and learning phrases fromhigh-accuracy word-level alignment models does not have a strong impact on performance. |
other,9-3-N03-1017,bq |
results , which hold for all examined
<term>
|
language pairs
|
</term>
, suggest that the highest levels
|
#2597
Our empirical results, which hold for all examinedlanguage pairs, suggest that the highest levels of performance can be obtained through relatively simple means: heuristic learning of phrase translations from word-based alignments and lexical weighting of phrase translations. |
tech,36-3-N03-1017,bq |
<term>
word-based alignments
</term>
and
<term>
|
lexical weighting
|
</term>
of
<term>
phrase translations
</term>
|
#2624
Our empirical results, which hold for all examined language pairs, suggest that the highest levels of performance can be obtained through relatively simple means: heuristic learning of phrase translations from word-based alignments andlexical weighting of phrase translations. |
other,30-3-N03-1017,bq |
:
<term>
heuristic learning
</term>
of
<term>
|
phrase translations
|
</term>
from
<term>
word-based alignments
</term>
|
#2618
Our empirical results, which hold for all examined language pairs, suggest that the highest levels of performance can be obtained through relatively simple means: heuristic learning ofphrase translations from word-based alignments and lexical weighting of phrase translations. |
other,39-3-N03-1017,bq |
and
<term>
lexical weighting
</term>
of
<term>
|
phrase translations
|
</term>
. Surprisingly , learning
<term>
phrases
|
#2627
Our empirical results, which hold for all examined language pairs, suggest that the highest levels of performance can be obtained through relatively simple means: heuristic learning of phrase translations from word-based alignments and lexical weighting ofphrase translations. |
model,18-2-N03-1017,bq |
understand better and explain why
<term>
|
phrase-based models
|
</term>
outperform
<term>
word-based models
|
#2582
Within our framework, we carry out a large number of experiments to understand better and explain whyphrase-based models outperform word-based models. |
model,4-1-N03-1017,bq |
</term>
of 54.55 % ) . We propose a new
<term>
|
phrase-based translation model
|
</term>
and
<term>
decoding algorithm
</term>
|
#2543
We propose a newphrase-based translation model and decoding algorithm that enables us to evaluate and compare several, previously proposed phrase-based translation models. |
model,21-1-N03-1017,bq |
compare several , previously proposed
<term>
|
phrase-based translation models
|
</term>
. Within our framework , we carry
|
#2560
We propose a new phrase-based translation model and decoding algorithm that enables us to evaluate and compare several, previously proposedphrase-based translation models. |
other,3-4-N03-1017,bq |
translations
</term>
. Surprisingly , learning
<term>
|
phrases
|
</term>
longer than three
<term>
words
</term>
|
#2633
Surprisingly, learningphrases longer than three words and learning phrases from high-accuracy word-level alignment models does not have a strong impact on performance. |
other,10-4-N03-1017,bq |
three
<term>
words
</term>
and learning
<term>
|
phrases
|
</term>
from
<term>
high-accuracy word-level
|
#2640
Surprisingly, learning phrases longer than three words and learningphrases from high-accuracy word-level alignment models does not have a strong impact on performance. |
other,2-5-N03-1017,bq |
impact on performance . Learning only
<term>
|
syntactically motivated phrases
|
</term>
degrades the performance of our
<term>
|
#2657
Learning onlysyntactically motivated phrases degrades the performance of our systems. |
tech,10-5-N03-1017,bq |
</term>
degrades the performance of our
<term>
|
systems
|
</term>
. In this paper , we introduce a
<term>
|
#2665
Learning only syntactically motivated phrases degrades the performance of oursystems. |
lr,33-3-N03-1017,bq |
<term>
phrase translations
</term>
from
<term>
|
word-based alignments
|
</term>
and
<term>
lexical weighting
</term>
|
#2621
Our empirical results, which hold for all examined language pairs, suggest that the highest levels of performance can be obtained through relatively simple means: heuristic learning of phrase translations fromword-based alignments and lexical weighting of phrase translations. |
model,21-2-N03-1017,bq |
phrase-based models
</term>
outperform
<term>
|
word-based models
|
</term>
. Our empirical results , which hold
|
#2585
Within our framework, we carry out a large number of experiments to understand better and explain why phrase-based models outperformword-based models. |
other,7-4-N03-1017,bq |
<term>
phrases
</term>
longer than three
<term>
|
words
|
</term>
and learning
<term>
phrases
</term>
from
|
#2637
Surprisingly, learning phrases longer than threewords and learning phrases from high-accuracy word-level alignment models does not have a strong impact on performance. |