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EMNLP
2008
13 years 9 months ago
Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation
This paper proposes a novel maximum entropy based rule selection (MERS) model for syntax-based statistical machine translation (SMT). The MERS model combines local contextual info...
Qun Liu, Zhongjun He, Yang Liu, Shouxun Lin
COLING
2010
13 years 2 months ago
Dependency-Based Bracketing Transduction Grammar for Statistical Machine Translation
In this paper, we propose a novel dependency-based bracketing transduction grammar for statistical machine translation, which converts a source sentence into a target dependency t...
Jinsong Su, Yang Liu, Haitao Mi, Hongmei Zhao, Yaj...
ACL
2004
13 years 9 months ago
Statistical Machine Translation with Word- and Sentence-Aligned Parallel Corpora
The parameters of statistical translation models are typically estimated from sentence-aligned parallel corpora. We show that significant improvements in the alignment and transla...
Chris Callison-Burch, David Talbot, Miles Osborne
ACL
2012
11 years 10 months ago
Fast and Scalable Decoding with Language Model Look-Ahead for Phrase-based Statistical Machine Translation
In this work we present two extensions to the well-known dynamic programming beam search in phrase-based statistical machine translation (SMT), aiming at increased efficiency of ...
Joern Wuebker, Hermann Ney, Richard Zens
TASLP
2008
142views more  TASLP 2008»
13 years 7 months ago
HMM Word and Phrase Alignment for Statistical Machine Translation
HMM-based models are developed for the alignment of words and phrases in bitext. The models are formulated so that alignment and parameter estimation can be performed efficiently....
Yonggang Deng, William J. Byrne