Application of Prize based on Sentence Length in Chunk-based Automatic Evaluation of Machine Translation
Hiroshi Echizen‐ya, Kenji Araki, Eduard H. Hovy · 2014
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.