Abstract
This paper describes the phrase-based SMT systems developed for our participation in the WMT13 Shared Translation Task. Translations for English↔German and English↔French were generated using a phrase-based translation system which is extended by additional models such as bilingual, fine-grained part-of-speech (POS) and automatic cluster language models and discriminative word lexica (DWL). In addition, we combined reordering models on different sentence abstraction levels.
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CITATION STYLE
Cho, E., Ha, T. L., Mediani, M., Niehues, J., Herrmann, T., Slawik, I., & Waibel, A. (2013). The Karlsruhe Institute of Technology Translation Systems for the WMT 2013. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 104–108). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/w14-3313
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