... outlined in
Section 3.
2 StatisticalMachine Translation
The goal of the translation process in statisti-
cal machinetranslation can be formulated as fol-
lows: A source language string
is to be ... the lexicon models used in statistical
machinetranslation systems are only single-word
based, thatis one word in the source language cor-
responds to only one word in the target language.
Those ... best hypothesis provided by the
translation system.
7 Conclusions
We have developed refined lexicon models for
statisticalmachinetranslation by using maximum
entropy models. We have been able to...
... experimental results for a bilingual cor-
pus are reported.
1.1 StatisticalMachineTranslation
In statisticalmachine translation, the goal of the
search strategy can be formulated as follows: ... problem formachinetranslation
systems that use translationmodelsbased on hid-
den alignments without a monotonicity constraint:
(Berger et al., !994) and (Wang and Waibel, 1997).
The former ... the qual-
ity of the used models; in preliminary experi-
ments we observed a speed-up factor of about
3.5.
963
A DP based Search Algorithm forStatisticalMachineTranslation
S. Nieflen,...
... Yamada.
2003. Syntax- basedlanguagemodelsfor statistical
machine translation. In Proceedings of MT Summit IX.
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David Chiang. 2007. Hierarchical phrase -based transla-
tion. ... monolin-
gual data to build linguistically-informed language
models. For example, Charniak et al. (2003) present
a syntax- basedlanguage model formachine transla-
tion which is trained on syntactic ... explore a dependency language
model to improve translation quality. To some ex-
tent, these syntactically-informed language models
are consistent with syntax- basedtranslation models
in capturing...
... Phrase -Based
Model forStatisticalMachine Translation. In Proc.
ACL, pages 263-270.
Michael Collins, Philipp Koehn and Ivona Kucerova.
2005. Clause restructuring forstatistical machine
translation. ... to Syntax- based Reordering forStatistical Ma-
chine Translation. In Proc. ACL, pages 720-727.
Yang Liu, Qun Liu, and Shouxun Lin. 2006. Tree-
to-String Alignment Template forStatistical Machine
Translation. ... Lee, Bing Zhao and Xiaoqiang Luo. 2010.
Constituent reordering and syntaxmodelsfor English-
to-Japanese statisticalmachine translation. In Proc.
Coling.
Chi-Ho Li, Minghui Li, Dongdong Zhang,...
... Lin.
2008. Maximum Entropy based Rule Selection Model
for Syntax- basedStatisticalMachine Translation. In
Proc. of EMNLP 2008, pages 89-97.
468
phrase -based machinetranslation system (Koehn
et ... source
toolkit forstatisticalmachine translation. In Proc. of
ACL 2007, Demonstration Session, pages 177-180.
Yang Liu, Qun Liu and Shouxun Lin. 2006. Tree-
to-String Alignment Template forStatistical Machine
Translation. ... Extensible Language
Modeling Toolkit. In Proc. of ICSLP 2002, pages 901-
904.
Yik-Cheung Tam, Ian R. Lane and Tanja Schultz. 2007.
Bilingual LSA -based adaptation forstatistical machine
translation. Machine...
... heterogeneous
translation systems e.g. phrase -based, hierarchical
phrase -based, and/or syntax- based systems. This
section explains how such models can be combined
during the decoding.
Given a number of translation ... Federico. 2009. Do-
main adaptation forstatisticalmachinetranslation with
monolingual resources. In Proceedings of the Fourth
Workshop on StatisticalMachine Translation, StatMT
’09, pages 182–189, ... Matthias Eck, Stephan Vogel,
and Alex Waibel. 2005. Adaptation of the translation
model forstatisticalmachinetranslationbased on in-
formation retrieval. In Proceedings of the 10th EAMT
2005, Budapest,...
...
Disambiguation Improves StatisticalMachine
Translation. In: Proceedings of ACL, Prague.
D. Chiang. 2005. A hierarchical phrase -based model
for statisticalmachine translation. In: Proceedings ... system, this method is
also suitable for syntax- based MT systems and
phrase -based MT systems. The only difference is
the definition of the context. For a syntax- based
system, the context of a rule ...
Phrase Selection for SMT. In: Goutte et al (ed.),
Learning Machine Translation. MIT Press.
K. Gimpel and N. A. Smith. 2008. Rich Source-Side
Context forStatisticalMachine Translation. In:...
... source toolkit for parsing -based
machine translation. In Proceedings of the Fourth
Workshop on StatisticalMachine Translation, pages
135–139, Athens, Greece, March. Association for
Computational ... Association for Computational
Linguistics.
Gholamreza Haffari, Maxim Roy, and Anoop Sarkar.
2009. Active learning forstatistical phrase -based
machine translation. In Proceedings of Human
Language ... our “before”
system already got the translation correct without
the need for the additional phrase translation. This
is because though the “before” system had never
seen the Urdu expression for...
... segmen-
tation formachinetranslation performance. In Pro-
ceedings of the Third Workshop on Statistical Ma-
chine Translation, pages 224–232, Columbus, Ohio.
David Chiang. 2007. Hierarchical phrase -based ... improves the translation per-
formance as measured by BLEU.
1 Introduction
In statisticalmachinetranslation (SMT), words
are normally considered as the building blocks of
translation models. However, ... Creutz, and M. Sade-
niemi. 2007. Morphology-aware statistical machine
translationbased on morphs induced in an unsuper-
vised manner. In MachineTranslation Summit XI,
pages 491–498, Copenhagen,...
... is used for training phrase -based
translation models, which can be used directly
in translation tasks or combined with base-
line models. Experimental results on Chinese-
English machinetranslation ... Assurance for Natural
Language Processing, pages 49–57, Columbus, Ohio,
June. Association for Computational Linguistics.
Philipp Koehn et al. 2007. Moses: Open source toolkit
for statisticalmachine translation. ... 2011.
c
2011 Association for Computational Linguistics
Corpus Expansion forStatisticalMachineTranslation with
Semantic Role Label Substitution Rules
Qin Gao and Stephan Vogel
Language Technologies...
... Analysis for Statistical
Machine Translation. In Proc. of NAACL, Boston,
MA.
Y. Lee. 2005. IBM StatisticalMachineTranslation for
Spoken Languages. In Proc. of International Work-
shop on Spoken Language ... for
Phrase -based StatisticalMachineTranslation Mod-
els. In Proc. of the Association forMachine Trans-
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P. Koehn. 2004b. Statistical Significance Tests for
MachineTranslation ... 2006.
c
2006 Association for Computational Linguistics
Combination of Arabic Preprocessing Schemes
for StatisticalMachine Translation
Fatiha Sadat
Institute for Information Technology
National...