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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...
ACL
2006
13 years 9 months ago
A Clustered Global Phrase Reordering Model for Statistical Machine Translation
In this paper, we present a novel global reordering model that can be incorporated into standard phrase-based statistical machine translation. Unlike previous local reordering mod...
Masaaki Nagata, Kuniko Saito, Kazuhide Yamamoto, K...
ACL
2010
13 years 5 months ago
Unsupervised Search for the Optimal Segmentation for Statistical Machine Translation
We tackle the previously unaddressed problem of unsupervised determination of the optimal morphological segmentation for statistical machine translation (SMT) and propose a segmen...
Coskun Mermer, Ahmet Afsn Akn
EMNLP
2009
13 years 5 months ago
Weighted Alignment Matrices for Statistical Machine Translation
Current statistical machine translation systems usually extract rules from bilingual corpora annotated with 1-best alignments. They are prone to learn noisy rules due to alignment...
Yang Liu, Tian Xia, Xinyan Xiao, Qun Liu
ACL
2008
13 years 9 months ago
A Discriminative Latent Variable Model for Statistical Machine Translation
Large-scale discriminative machine translation promises to further the state-of-the-art, but has failed to deliver convincing gains over current heuristic frequency count systems....
Phil Blunsom, Trevor Cohn, Miles Osborne