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Abstract Evaluation of Machine Translation (MT) has historically proven to be a very diffi-cult exercise In recent times, automatic evaluation methods have become popu-lar Most prominent among these is BLEU, which is a metric based on n-gram co-occurrence In this paper, we ar-gue that BLEU is not appropriate for the evaluation of systems that produce in-dicative (rough) translations We use
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