Abstract
In this paper, we present the KIT translation systems as well as the KIT-LIMSI systems for the ACL 2016 First Conference on Machine Translation. We participated in the shared task Machine Translation of News and submitted translation systems for three different directions: English→German, German→English and English→Romanian. We used a phrase-based machine translation system and investigated several models to rescore the system. We used neural network language and translation models. Using these models, we could improve the translation performance in all language pairs we participated.
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CITATION STYLE
Ha, T. L., Cho, E., Niehues, J., Mediani, M., Sperber, M., Allauzen, A., & Waibel, A. (2016). The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2016. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 2, pp. 303–310). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w18-6422
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