J03-3004 |
probabilities by means of a statistical
|
word alignment tool
|
. In a subsequent stage , chunk
|
P07-1082 |
transliteration either employs a
|
word alignment tool
|
( usually GIZA + + ) , or develops
|
K15-1008 |
the annotation projection . The
|
word alignment tool
|
can align more words than shown
|
P07-1082 |
for this language pair apply a
|
word alignment tool
|
for training . By contrast ,
|
D14-1018 |
between the POS tagger tool and our
|
word alignment tool
|
there were some mismatches .
|
S10-1025 |
analysis indicates that using a
|
word alignment tool
|
on the translated sentence pairs
|
P08-1116 |
fairly small , thus automatical
|
word alignment tool
|
like Giza + + may not work well
|
D12-1016 |
model using the state-of-theart
|
word alignment tool
|
Berkeley Aligner ( Liang et al.
|
P11-1160 |
a source language parser and a
|
word alignment tool
|
, parallel data can be used to
|
D15-1119 |
models , is the most widely used
|
word alignment tool
|
. Other well-known tools are
|
P09-3009 |
( Gao and Vogel , 08 ) as its
|
word alignment tool
|
. We do MERT in all the experiments
|
S12-1030 |
Aligner ( Liang et al. , 2006 ) . As
|
word alignment tools
|
require pairs of sentences as
|
P07-1091 |
reordering needs a parser of the SL , a
|
word alignment tool
|
, and a Maximum Entropy training
|
D09-1136 |
to the part of the corpus where
|
word alignment tools
|
such as GIZA + + do poorly .
|
P08-4006 |
. 3 Yawat Yawat ( Yet Another
|
Word Alignment Tool
|
) was developed to remedy this
|
W06-1903 |
a language modeling tool and a
|
word alignment tool
|
for creating a mapping of the
|
P07-1091 |
, a parser for the SL , and a
|
word alignment tool
|
, we can collect all binary parse
|
P10-1137 |
automatically by running GIZA + + : a
|
word alignment tool
|
( Och and Ney , 2003 ) on a parallel
|
E09-1082 |
aligner . We used the GIZA + +
|
word alignment tool
|
( Och and Ney , 2003 ) for aligning
|
J03-3004 |
resources has forced developers of
|
word alignment tools
|
for such languages to use shallow
|