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» Better Word Alignments with Supervised ITG Models
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ACL
2006
13 years 6 months ago
Improved Discriminative Bilingual Word Alignment
For many years, statistical machine translation relied on generative models to provide bilingual word alignments. In 2005, several independent efforts showed that discriminative m...
Robert C. Moore, Wen-tau Yih, Andreas Bode
ACL
2011
12 years 9 months ago
Rare Word Translation Extraction from Aligned Comparable Documents
We present a first known result of high precision rare word bilingual extraction from comparable corpora, using aligned comparable documents and supervised classification. We in...
Emmanuel Prochasson, Pascale Fung
IICAI
2007
13 years 6 months ago
A Java Implementation of an Extended Word Alignment Algorithm Based on the IBM Models
In recent years statistical word alignment models have been widely used for various Natural Language Processing (NLP) problems. In this paper we describe a platform independent and...
G. Chinnappa, Anil Kumar Singh
ACL
2006
13 years 6 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
ACL
2010
13 years 3 months ago
Discriminative Modeling of Extraction Sets for Machine Translation
We present a discriminative model that directly predicts which set of phrasal translation rules should be extracted from a sentence pair. Our model scores extraction sets: nested ...
John DeNero, Dan Klein