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Evaluating translation quality as input to product development
In this paper we present a corpus-based method to evaluate the translation quality of machine translation (MT) systems. We star t with a shallow analysis of a large corpus and gradually focus the attention on the translation problems. The method constitutes an efficient way to identify the most important grammatical and lexical weaknesses of an MT system and to guide development towards improved translation quality. The evaluation described in the paper was carried out as a cooperation betweendoi:10.5167/uzh-28555 fatcat:27fvtx7tsvhwngwknyems23vsy