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Statistical Phrase Based Post Editing

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Figure

Figure 1: Distribution of TER on 39005 blocks fromthe French-English corpus (thresholded at 150%).
Table 1: Data and split used in our experiments, (in thousand words). ’baseline’ is the output of the com-mercial rule-based MT system and ’reference’ is the final, post-edited text.
Table 3: Portage translation - Portage APE systemcombination experimental results.
Figure 2: TER and BLEU scores of the phrase-based post-editing models as the amount of training dataincreases (log scale)

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