Báo cáo khoa học: "Decoding Algorithm in Statistical Machine Translation" pptx
Báo cáo khoa học: "Decoding Algorithm in Statistical Machine Translation" pptx
... decoding process. We evalu-
ate and compare these techniques/models
in our statistical machine translation sys-
tem.
1 Introduction
1.1 Statistical Machine Translation
Statistical machine ... publications devoted to the
decoding issue for statistical machine translation.
On the other side, decoding algorithm is a crucial
part in statistical machine translation...
Tài liệu Báo cáo khoa học: "Corpus Expansion for Statistical Machine Translation with Semantic Role Label Substitution Rules" doc
... sets.
1 Introduction
Statistical machine translation (SMT) relies on par-
allel corpus. Aside from collecting parallel cor-
pus, we have seen interesting research on automat-
ically generating corpus ... translation models and bilingual lan-
guage models to identify high quality sentence pairs,
and use these sentence pairs in the SMT training. In
the remaining part of the paper, we in...
Tài liệu Báo cáo khoa học: "Clause Restructuring for Statistical Machine Translation" ppt
... (2004). Statistical machine translation by pars-
ing. In Proceedings of ACL 2004.
Niessen, S. and Ney, H. (2004). Statistical machine translation
with scarce resources using morpho-syntactic information.
Computational ... morpho-syntactic information.
Computational Linguistics, 30(2):181–204.
Och, F. J. (2003). Minimum error rate training in statistical
machine translation. I...
Báo cáo khoa học: "Distortion Models For Statistical Machine Translation" doc
... decoding does not directly
address word order issues. Indirectly, however, the
phrase dictionary
1
in phrase-based decoders typically
captures local reorderings that were seen in the training
data. ... work on measuring word
order differences between a given language pair in the
context of statistical machine translation.
3 Measuring Word Order Similarity
Between Two Language
In t...
Báo cáo khoa học: "Transductive learning for statistical machine translation" potx
... component in the log-linear
model, we have an alternative to the full re-training
26
Algorithm 1 Transductive learning algorithm for statistical machine translation
1: Input: training set L of ... training data. These se-
lected sentence pairs are replaced in each iteration,
and only the original bilingual training data, L, is
kept fixed throughout the algorithm. The process
of ge...
Báo cáo khoa học: "Paraphrase Lattice for Statistical Machine Translation" ppt
... JAPAN
{takashi.onishi,mutiyama,eiichiro.sumita}@nict.go.jp
Abstract
Lattice decoding in statistical machine
translation (SMT) is useful in speech
translation and in the translation of Ger-
man because it can handle input ambigu-
ities such as speech ... expressions in training corpus leads
to a decrease in translation quality. Therefore,
we propose a novel method that can handle...
Báo cáo khoa học: "Scaling Phrase-Based Statistical Machine Translation to Larger Corpora and Longer Phrases" pptx
... spain declined to aid morocco
declined to confirm that spain declined to aid morocco
to confirm that spain declined to aid morocco
confirm that spain declined to aid morocco
that spain declined to ... morocco
morocco
spain declined to aid morocco
declined to confirm that spain declined to aid morocco
declined to aid morocco
confirm that spain declined to aid morocco
aid morocco
that spain dec...
Báo cáo khoa học: "Error Detection for Statistical Machine Translation Using Linguistic Features" pptx
... for Statistical Machine
Translation Using Linguistic Features
Deyi Xiong, Min Zhang, Haizhou Li
Human Language Technology
Institute for Infocomm Research
1 Fusionopolis Way, #21-01 Connexis, Singapore ... merged
into a single step if we directly output predicting
results from binary classifiers instead of making
thresholding decision.
Various features from different SMT models
and system o...
Báo cáo khoa học: "N-gram-based Statistical Machine Translation versus Syntax Augmented Machine Translation: comparison and system combination" potx
... terminals and non-terminals,
∼ is a one-to-one mapping from non-terminal to-
kens space in γ to non-terminal space in α, and ω
is a non-negative weight assigned to the rule.
The non-terminal ... (ex-
panding the alignment by adding directly neigh-
boring alignment points and alignment points in
the diagonal neighborhood) (Och and Ney, 2003).
Meanwhile, the target of the training corpus...
Báo cáo khoa học: "Supertagged Phrase-Based Statistical Machine Translation" pot
... very
favourably with the leading systems on the
NIST 2005 task.
1 Introduction
Within the field of Machine Translation, by far the
most dominant paradigm is Phrase-based Statistical
Machine Translation (PBSMT) ... improves over the
baseline PBSMT system. Interestingly, combining
the two taggers together diminishes the benefits of
supertagging seen with the individual LTAG and
CCG systems....