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ACL
2012
11 years 10 months ago
A Ranking-based Approach to Word Reordering for Statistical Machine Translation
Long distance word reordering is a major challenge in statistical machine translation research. Previous work has shown using source syntactic trees is an effective way to tackle ...
Nan Yang, Mu Li, Dongdong Zhang, Nenghai Yu
NLE
2007
180views more  NLE 2007»
13 years 7 months ago
Segmentation and alignment of parallel text for statistical machine translation
We address the problem of extracting bilingual chunk pairs from parallel text to create training sets for statistical machine translation. We formulate the problem in terms of a s...
Yonggang Deng, Shankar Kumar, William Byrne
EMNLP
2009
13 years 5 months ago
Discriminative Corpus Weight Estimation for Machine Translation
Current statistical machine translation (SMT) systems are trained on sentencealigned and word-aligned parallel text collected from various sources. Translation model parameters ar...
Spyros Matsoukas, Antti-Veikko I. Rosti, Bing Zhan...
EMNLP
2006
13 years 9 months ago
A Discriminative Model for Tree-to-Tree Translation
This paper proposes a statistical, treeto-tree model for producing translations. Two main contributions are as follows: (1) a method for the extraction of syntactic structures wit...
Brooke Cowan, Ivona Kucerova, Michael Collins
LREC
2008
155views Education» more  LREC 2008»
13 years 9 months ago
Using Reordering in Statistical Machine Translation based on Alignment Block Classification
Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between source and target language. These models are...
Marta R. Costa-Jussà, José A. R. Fon...