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One important aspect of the feature selective validation (FSV) method is that it classifies comparison data into a number of natural-language categories. This allows comparison data generated by FSV to be compared with equivalent “visual” comparisons obtained using the visual rating scale. Previous research has shown a close relationship between visual assessment and FSV generated data using the resulting...
Human evaluation of translation involves many aspects. In this paper we try to make some quantitative analyses on factors influencing translation scores generated by human. We focus on some linguistic features especially some translation error types which may affect human evaluation. The experiment shows that the inconsistency in thematic knowledge and the semantic incoherence in target text have...
BLEU is one of the most popular metrics for automatic evaluation of machine translation quality. Focusing on its ignorance of different effects of various translation units upon translation quality, this paper extends proper weights to different words and n-grams in the framework of BLEU. The linear regression method is adopted to capture the human perception on translation quality via word types...
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