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EMNLP
2007

An Empirical Study on Computing Consensus Translations from Multiple Machine Translation Systems

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An Empirical Study on Computing Consensus Translations from Multiple Machine Translation Systems
This paper presents an empirical study on how different selections of input translation systems affect translation quality in system combination. We give empirical evidence that the systems to be combined should be of similar quality and need to be almost uncorrelated in order to be beneficial for system combination. Experimental results are presented for composite translations computed from large numbers of different research systems as well as a set of translation systems derived from one of the bestranked machine translation engines in the 2006 NIST machine translation evaluation.
Wolfgang Macherey, Franz Josef Och
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where EMNLP
Authors Wolfgang Macherey, Franz Josef Och
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