- Eunah Cho, Thanh-Le Ha, Mohammed Mediani, J. Niehues, T. Herrmann, Isabel Slawik, A. Waibel. 2014. The Karlsruhe Institute of Technology Translation Systems for the WMT 2014. Abstract: In this paper, we present the KIT systems participating in the Shared Translation Task translating between English$German and English$French. All translations are generated using phrase-based translation systems, using different kinds of word-based, part-ofspeech-based and cluster-based language models trained on the provided data. Additional models include bilingual language models, reordering models based on part-of-speech tags and syntactic parse trees, as well as a lexicalized reordering model. In order to make use of noisy web-crawled data, we apply filtering and data selection methods for language modeling. A discriminative word lexicon using source context information proved beneficial for all translation directions.
