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Enhanced Bilingual Evaluation Understudy

Krzysztof Wołk and Krzysztof Marasek
Department of Multimedia, Polish Japanese Institute of Information Technology, Warsaw, POLAND
Abstract—Our research extends the Bilingual Evaluation Understudy (BLEU) evaluation technique for statistical machine translation to make it more adjustable and robust. We intend to adapt it to resemble human evaluation more. We perform experiments to evaluate the performance of our technique against the primary existing evaluation methods. We describe and show the improvements it makes over existing methods as well as correlation to them. When human translators translate a text, they often use synonyms, different word orders or style, and other similar variations. We propose an SMT evaluation technique that enhances the BLEU metric to consider variations such as those.

Index Terms—machine translation, statistical machine translation, NLP, translation evaluation

Cite: Krzysztof Wołk and Krzysztof Marasek, "Enhanced Bilingual Evaluation Understudy," Lecture Notes on Information Theory, Vol. 2, No. 2, pp. 191-197, June 2014. doi: 10.12720/lnit.2.2.191-197
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