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ACL
2003
14 years 11 months ago
A Probability Model to Improve Word Alignment
Word alignment plays a crucial role in statistical machine translation. Word-aligned corpora have been found to be an excellent source of translation-related knowledge. We present...
Colin Cherry, Dekang Lin
65
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ACL
2010
14 years 7 months ago
Word Alignment with Synonym Regularization
We present a novel framework for word alignment that incorporates synonym knowledge collected from monolingual linguistic resources in a bilingual probabilistic model. Synonym inf...
Hiroyuki Shindo, Akinori Fujino, Masaaki Nagata
ACL
2010
14 years 7 months ago
Exploring Syntactic Structural Features for Sub-Tree Alignment Using Bilingual Tree Kernels
We propose Bilingual Tree Kernels (BTKs) to capture the structural similarities across a pair of syntactic translational equivalences and apply BTKs to sub-tree alignment along wi...
Jun Sun, Min Zhang, Chew Lim Tan
ACL
2006
14 years 11 months ago
BiTAM: Bilingual Topic AdMixture Models for Word Alignment
We propose a novel bilingual topical admixture (BiTAM) formalism for word alignment in statistical machine translation. Under this formalism, the parallel sentence-pairs within a ...
Bing Zhao, Eric P. Xing
LREC
2010
181views Education» more  LREC 2010»
14 years 11 months ago
Linguistically Motivated Unsupervised Segmentation for Machine Translation
In this paper we use statistical machine translation and morphology information from two different morphological analyzers to try to improve translation quality by linguistically ...
Mark Fishel, Harri Kirik