A Quality-based Active Sample Selection Strategy for Statistical Machine Translation

LREC 2014 Varvara LogachevaLucia Specia

This paper presents a new active learning technique for machine translation based on quality estimation of automatically translated sentences. It uses an error-driven strategy, i.e., it assumes that the more errors an automatically translated sentence contains, the more informative it is for the translation system... (read more)

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