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» Computational Complexity of Statistical Machine Translation
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EMNLP
2008
13 years 10 months ago
Online Large-Margin Training of Syntactic and Structural Translation Features
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimi...
David Chiang, Yuval Marton, Philip Resnik
AI
2009
Springer
14 years 3 months ago
Enhancing the Bilingual Concordancer TransSearch with Word-Level Alignment
Despite the impressive amount of recent studies devoted to improving the state of the art of Machine Translation (MT), Computer Assisted Translation (CAT) tools remain the preferre...
Julien Bourdaillet, Stéphane Huet, Fabrizio...
COLING
2010
13 years 3 months ago
A Monolingual Tree-based Translation Model for Sentence Simplification
In this paper, we consider sentence simplification as a special form of translation with the complex sentence as the source and the simple sentence as the target. We propose a Tre...
Zhemin Zhu, Delphine Bernhard, Iryna Gurevych
MT
2002
107views more  MT 2002»
13 years 8 months ago
Translation with Scarce Bilingual Resources
Machine translation of human languages is a field almost as old as computers themselves. Recent approaches to this challenging problem aim at learning translation knowledge automat...
Yaser Al-Onaizan, Ulrich Germann, Ulf Hermjakob, K...
ACL
2010
13 years 6 months ago
Fine-Grained Tree-to-String Translation Rule Extraction
Tree-to-string translation rules are widely used in linguistically syntax-based statistical machine translation systems. In this paper, we propose to use deep syntactic informatio...
Xianchao Wu, Takuya Matsuzaki, Jun-ichi Tsujii