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COLING
2010
8 years 9 months ago
Translation Model Generalization using Probability Averaging for Machine Translation
Previous methods on improving translation quality by employing multiple SMT models usually carry out as a secondpass decision procedure on hypotheses from multiple systems using e...
Nan Duan, Hong Sun, Ming Zhou
ACL
2009
9 years 4 days ago
Joint Decoding with Multiple Translation Models
Current SMT systems usually decode with single translation models and cannot benefit from the strengths of other models in decoding phase. We instead propose joint decoding, a met...
Yang Liu, Haitao Mi, Yang Feng, Qun Liu
ACL
2009
9 years 5 days ago
Forest-based Tree Sequence to String Translation Model
This paper proposes a forest-based tree sequence to string translation model for syntaxbased statistical machine translation, which automatically learns tree sequence to string tr...
Hui Zhang, Min Zhang, Haizhou Li, AiTi Aw, Chew Li...
ACL
2010
9 years 11 days ago
Learning to Translate with Source and Target Syntax
Statistical translation models that try to capture the recursive structure of language have been widely adopted over the last few years. These models make use of varying amounts o...
David Chiang
ICASSP
2010
IEEE
9 years 26 days ago
Spoken language translation from parallel speech audio: Simultaneous interpretation as SLT training data
In recent work, we proposed an alternative to parallel text as translation model (TM) training data: audio recordings of parallel speech (pSp), as it occurs in any communication s...
Matthias Paulik, Alex Waibel
CORR
1998
Springer
99views Education» more  CORR 1998»
9 years 2 months ago
Models of Co-occurrence
A model of co-occurrence in bitext is a boolean predicate that indicates whether a given pair of word tokens co-occur in corresponding regions of the bitext space. Co-occurrence i...
I. Dan Melamed
ACL
1997
9 years 3 months ago
A Word-to-Word Model of Translational Equivalence
Many multilingual NLP applications need to translate words between different languages, but cannot afford the computational expense of inducing or applying a full translation mode...
I. Dan Melamed
NAACL
2007
9 years 3 months ago
Analysis and System Combination of Phrase- and N-Gram-Based Statistical Machine Translation Systems
In the framework of the Tc-Star project, we analyze and propose a combination of two Statistical Machine Translation systems: a phrase-based and an N-gram-based one. The exhaustiv...
Marta R. Costa-Jussà, Josep Maria Crego, Da...
EMNLP
2007
9 years 3 months ago
Factored Translation Models
We present an extension of phrase-based statistical machine translation models that enables the straight-forward integration of additional annotation at the word-level — may it ...
Philipp Koehn, Hieu Hoang
COLING
2008
9 years 3 months ago
A Systematic Comparison of Phrase-Based, Hierarchical and Syntax-Augmented Statistical MT
Probabilistic synchronous context-free grammar (PSCFG) translation models define weighted transduction rules that represent translation and reordering operations via nonterminal s...
Andreas Zollmann, Ashish Venugopal, Franz Josef Oc...
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