The authors firstly introduce three typical word posterior probabilities(WPP) for error detection and classification,which are fixed position WPP,sliding window WPP,and alignment-based WPP,and analyzes their impact on the detection performance.Then each WPP feature is combined with three linguistic features(Word,POS and LG Parsing knowledge) over the maximum entropy classifier to predict the translation errors.Experimental results on Chinese-to-English NIST datasets show that the influences of different WPP...
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