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ACL
2012
11 years 7 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
EMNLP
2007
13 years 6 months ago
Chinese Syntactic Reordering for Statistical Machine Translation
Syntactic reordering approaches are an effective method for handling word-order differences between source and target languages in statistical machine translation (SMT) systems. T...
Chao Wang, Michael Collins, Philipp Koehn
LREC
2008
155views Education» more  LREC 2008»
13 years 6 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...
COLING
2000
13 years 5 months ago
Word Re-ordering and DP-based Search in Statistical Machine Translation
In this paper, we describe a search procedure for statistical machine translation (MT) based on dynmnic programming (DP). Starting from a DP-based solution to the traveling salesm...
Christoph Tillmann, Hermann Ney
NAACL
2010
13 years 2 months ago
A Direct Syntax-Driven Reordering Model for Phrase-Based Machine Translation
This paper presents a direct word reordering model with novel syntax-based features for statistical machine translation. Reordering models address the problem of reordering source...
Niyu Ge