Báo cáo khoa học: "Lightly Supervised Transliteration for Machine Translation" ppt
Báo cáo khoa học: "Lightly Supervised Transliteration for Machine Translation" ppt
... 433–441,
Athens, Greece, 30 March – 3 April 2009.
c
2009 Association for Computational Linguistics
Lightly Supervised Transliteration for Machine Translation
Amit Kirschenbaum
Department of Computer ... types of
transliteration (Knight and Graehl, 1997): For-
ward transliteration, where an originally Hebrew
term is to be transliterated to English; and Back-
ward transliterati...
Báo cáo khoa học: "Stochastic Iterative Alignment for Machine Translation Evaluation" doc
... 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...
Báo cáo khoa học: "Handling phrase reorderings for machine translation" pdf
... 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 ... kinds of information extracted from the
Input: The samples
o, φ(
¯
f
j
, ¯e
i
)
N
n=1
, step size η
Initialization: k = 0; w
o,k
= 0 ∀o ∈ Ω;
Repeat
for n = 1, 2, . . . , N do
for o
...
Báo cáo khoa học: "Modelling lexical redundancy for machine translation" doc
... 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 ... be
re-enforced across the model. For instance (see
Fig. 1), if cymru and gymru are clustered to-
gether, the parameter for feature ψ
1
, shown above,
may increase. This i...
Báo cáo khoa học: "Generating Complex Morphology for Machine Translation" pdf
... framework, it is straightforward to
encode the morphological properties of a word, in
addition to its surface inflected form. For example,
for a particular inflected word form y
t
and its con-
text, ... 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 utilize a...
Báo cáo khoa học: "Automatic Evaluation Method for Machine Translation using Noun-Phrase Chunking" pptx
... 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 Improved Evaluation Metric for Machine
Translation. ... the Association for Computational Linguistics, pages 108–117,
Uppsala, Sweden, 11-16 July 2010.
c
2010 Association for Computational Linguistics
Automatic Evaluation Method for...
Báo cáo khoa học: "Decoding Algorithm in Statistical Machine Translation" pptx
... devoted to the
decoding issue for statistical machine translation.
On the other side, decoding algorithm is a crucial
part in statistical machine translation. Its perfor-
mance directly affects ... compare these techniques/models
in our statistical machine translation sys-
tem.
1 Introduction
1.1 Statistical Machine Translation
Statistical machine translation is based on...
Báo cáo khoa học: "Semi-supervised Training for the Averaged Perceptron POS Tagger" potx
... tags
First letter of previous tag
Word forms
Current word form
Previous word form
Previous two word forms
Following word form
Following two word forms
Last but one word form
Current word affixes
Prefixes ... dependencies
to include the right-hand side disambiguated tags,
4
For brevity, we will use the terms supervised and “un-
supervised data for “manually annotated” and “(automat-
ically...
Báo cáo khoa học: "Semi-supervised Learning for Automatic Prosodic Event Detection Using Co-training Algorithm" doc
... an
accuracy of 84% for accent, 71% for IPB, and
84% for break index detection at the syllable
level. Chen et al. (2004) used a Gaussian mix-
ture model for acoustic-prosodic information and
neural ... Vector
Machine (SVM) classifier for syntactic-prosodic
evidence performed better than other classifiers.
We therefore use NN and SVM in this study. Note
542
that our feature extraction...