Abstract
This short paper presents a system description for intrinsic evaluation of the WMT 14 s medical text translation task. Our systems consist of phrase-based statistical machine translation system and query translation system between German-English language pairs. Our work focuses on the query translation task and we achieved the highest BLEU score among the all submitted systems for the English-German intrinsic query translation evaluation.
Cite
CITATION STYLE
Li, J., Kim, S. J., Na, H., & Lee, J. H. (2014). Postech s system description for medical text translation task. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 229–232). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/w14-3327
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