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ICASSP
2010
IEEE
13 years 4 months ago
Hypothesis ranking and two-pass approaches for machine translation system combination
Given a number of machine translations of a source segment, the goal of system combination is to produce a new translation that has better quality than all of them. This paper des...
Damianos Karakos, Jason Smith, Sanjeev Khudanpur
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...
ACL
2007
13 years 6 months ago
Improved Word-Level System Combination for Machine Translation
Recently, confusion network decoding has been applied in machine translation system combination. Due to errors in the hypothesis alignment, decoding may result in ungrammatical co...
Antti-Veikko I. Rosti, Spyridon Matsoukas, Richard...
NAACL
1994
13 years 5 months ago
Toward Multi-Engine Machine Translation
Current MT systems, whatever translation method they at present employ, do not reach an optimum output on free text. Our hypothesis for the experiment reported in this paper is th...
Sergei Nirenburg, Robert E. Frederking
ACL
2006
13 years 6 months ago
Re-Usable Tools for Precision Machine Translation
The LOGON MT demonstrator assembles independently valuable general-purpose NLP components into a machine translation pipeline that capitalizes on output quality. The demonstrator ...
Jan Tore Lønning, Stephan Oepen