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» Learning Rules to Improve a Machine Translation System
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COLING
1992
15 years 29 days ago
Term-Rewriting As A Basis For A Uniform Architecture In Machine Translation
In machine translation (MT) dierent levels of representation can be used to translate a source language sentence onto its target language equivalent. These levels have to be relat...
Wilhelm Weisweber
ACL
2009
14 years 9 months ago
A non-contiguous Tree Sequence Alignment-based Model for Statistical Machine Translation
The tree sequence based translation model allows the violation of syntactic boundaries in a rule to capture non-syntactic phrases, where a tree sequence is a contiguous sequence o...
Jun Sun, Min Zhang, Chew Lim Tan
ACL
2010
14 years 9 months ago
A Joint Rule Selection Model for Hierarchical Phrase-Based Translation
In hierarchical phrase-based SMT systems, statistical models are integrated to guide the hierarchical rule selection for better translation performance. Previous work mainly focus...
Lei Cui, Dongdong Zhang, Mu Li, Ming Zhou, Tiejun ...
NAACL
2004
15 years 1 months ago
Discriminative Reranking for Machine Translation
This paper describes the application of discriminative reranking techniques to the problem of machine translation. For each sentence in the source language, we obtain from a basel...
Libin Shen, Anoop Sarkar, Franz Josef Och
INTERSPEECH
2010
14 years 6 months ago
Text normalization based on statistical machine translation and internet user support
In this paper, we describe and compare systems for text normalization based on statistical machine translation (SMT) methods which are constructed with the support of internet use...
Tim Schlippe, Chenfei Zhu, Jan Gebhardt, Tanja Sch...