... signifi-
cance level for adequacy. Results confirmed
that our method using noun-phrase chunking
is effective for automatic evaluation for ma-
chine translation.
2 Automatic Evaluation Method
using Noun-Phrase ... B
LEU: a Method for Au-
tomatic Evaluation of Machine Translation. In
Proc. of ACL’02, 311–318.
Michael Pozar and Eugene Charniak. 2006. Bllip:
An Impro...
...
An Evaluation Method of Words Tendency using Decision Tree
El-Sayed Atlam, Masaki Oono, and Jun-ichi Aoe
Department of Information Science and Intelligent Systems ... traditional
text dealing methods and text search techniques, the
importance of frequency change with time-series
variation is not considered. Therefore, traditional
methods could not correctly ...
variation. Ohkubo...
... N
for i = 1; i ≤ M; i = i +1 do
for j = 1; j ≤ N; j = j +1 do
for k = 1; k ≤ i; k = k +1 do
for m = 1; m ≤ j; m = m +1 do
score
i,j,k,m
= max{score
i−1,j,k,m
,score
i,j−1,k,m
} ;
end for
end for
score
i,j,i,j
=
max
n=1,M;p=1,N
{score
i,j,i,j
, ... |ref|;
for i = 1; i ≤ M; i = i +1 do
for j = 1; j ≤ N; j = j +1 do
for k = 1; k ≤ i; k = k +1 do
for m = 1; m ≤ j; m = m +1 do...
... favorably
with automatic evaluation metrics for other nat-
ural language processing tasks. For example, at
the 2008 ACL Workshop on Statistical Machine
Translation, all fifteen automatic evaluation met-
rics, ... success for pre-
dicting summary coherence. They can therefore
be considered to be the state-of-the-art approach
for automatic evaluation of linguistic quality.
4 Sum...
... the av-
erage accuracy for each reordering distance d. It
shows that even for long distance reordering, the
DPR model still performs well, while the MLE
baseline usually performs badly (more than ... propose a distance phrase reordering
model (DPR) for statistical machine trans-
lation (SMT), where the aim is to cap-
ture phrase reorderings using a structure
learning framework. On b...
... 969–976,
Sydney, July 2006.
c
2006 Association for Computational Linguistics
Modelling lexical redundancy for machine translation
David Talbot and Miles Osborne
School of Informatics, University of Edinburgh
2 ... more effective for
Czech than for Welsh. The impact of the MRF
prior is also greater for smaller training sets.
Table 3 shows the results of using these models
to s...
... syntactic
analysis information for both the source and trans-
lated sentences. We generate the inflected forms of
words in the target sentence using all of the available
information, using a log-linear ... USA
hisamis@microsoft.com
Abstract
We present a novel method for predicting in-
flected word forms for generating morpho-
logically rich languages in machine trans-
lation. We u...
... optimize translation performance obtained
by the training phase.
2
For decoding, we prohib-
ited Moses form performing character reordering
(distortion). While reordering may be needed for
translation, ... module in
MT system
7 Conclusions
We presented a new method for transliteration in
the context of Machine Translation. This method
identifies, for a given text, tokens that...
... absorbance at 275 nm using e
275
=
1400 m
)1
cm
)1
.
Assessment of aggregation using thioflavin T
binding and electron microscopy
The kinetics of fibril formation was determined using a con-
tinuous ... and
cells were fixed and used for immunocytochemical analyses.
Immunocytochemistry
Neurons were fixed in 4% paraformaldehyde for 20 min
at room temperature, and cells were stained for...
... that
human translations are generally good and machine
translations poor, that binary training data can be
created by taking the human translations as posi-
tive training instances and machine translations ... to provide
an automatic evaluation method for fluency alone,
without the use of a reference text.
One might consider using a metric based on lan-
guage model probabilities f...