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» Fast Decoding and Optimal Decoding for Machine Translation
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EMNLP
2009
13 years 2 months ago
Consensus Training for Consensus Decoding in Machine Translation
We propose a novel objective function for discriminatively tuning log-linear machine translation models. Our objective explicitly optimizes the BLEU score of expected n-gram count...
Adam Pauls, John DeNero, Dan Klein
ACL
2010
13 years 2 months ago
Jointly Optimizing a Two-Step Conditional Random Field Model for Machine Transliteration and Its Fast Decoding Algorithm
This paper presents a joint optimization method of a two-step conditional random field (CRF) model for machine transliteration and a fast decoding algorithm for the proposed metho...
Dong Yang, Paul R. Dixon, Sadaoki Furui
EMNLP
2009
13 years 2 months ago
Fast Translation Rule Matching for Syntax-based Statistical Machine Translation
In a linguistically-motivated syntax-based translation system, the entire translation process is normally carried out in two steps, translation rule matching and target sentence d...
Hui Zhang, Min Zhang, Haizhou Li, Chew Lim Tan
EMNLP
2009
13 years 2 months ago
Joint Optimization for Machine Translation System Combination
System combination has emerged as a powerful method for machine translation (MT). This paper pursues a joint optimization strategy for combining outputs from multiple MT systems, ...
Xiaodong He, Kristina Toutanova
ACL
2009
13 years 2 months ago
Collaborative Decoding: Partial Hypothesis Re-ranking Using Translation Consensus between Decoders
This paper presents collaborative decoding (co-decoding), a new method to improve machine translation accuracy by leveraging translation consensus between multiple machine transla...
Mu Li, Nan Duan, Dongdong Zhang, Chi-Ho Li, Ming Z...