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As described in this paper, we propose a new automatic evaluation metric for machine translation. Our metric is based on chunking between the reference and candidate translation. Moreover, we apply a prize based on sentence-length to the metric, dissimilar from penalties in BLEU or NIST. We designate this metric as Automatic Evaluation of Machine Translation in which the Prize is Applied to a Chunkbased metric (APAC). Through metaevaluation experiments and comparison with several metrics, we confirmed that our metric shows stable correlation with human judgment.

Application of Prize based on Sentence Length in Chunk-based Automatic Evaluation of Machine Translation