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» Combining Outputs from Multiple Machine Translation Systems
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NAACL
2007
9 years 5 months ago
Combining Outputs from Multiple Machine Translation Systems
Currently there are several approaches to machine translation (MT) based on different paradigms; e.g., phrasal, hierarchical and syntax-based. These three approaches yield similar...
Antti-Veikko I. Rosti, Necip Fazil Ayan, Bing Xian...
EMNLP
2008
9 years 5 months ago
Indirect-HMM-based Hypothesis Alignment for Combining Outputs from Machine Translation Systems
This paper presents a new hypothesis alignment method for combining outputs of multiple machine translation (MT) systems. An indirect hidden Markov model (IHMM) is proposed to add...
Xiaodong He, Mei Yang, Jianfeng Gao, Patrick Nguye...
EMNLP
2007
9 years 5 months ago
Hierarchical System Combination for Machine Translation
Given multiple translations of the same source sentence, how to combine them to produce a translation that is better than any single system output? We propose a hierarchical syste...
Fei Huang, Kishore Papineni
ACL
2009
9 years 1 months ago
A Comparative Study of Hypothesis Alignment and its Improvement for Machine Translation System Combination
Recently confusion network decoding shows the best performance in combining outputs from multiple machine translation (MT) systems. However, overcoming different word orders prese...
Boxing Chen, Min Zhang, Haizhou Li, AiTi Aw
EMNLP
2009
9 years 1 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
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