The Karlsruhe Institute of Technology Translation Systems for the WMT 2014
Teresa Herrmann, Mohammed Mediani, Eunah Cho, Thanh-Le Ha, Jan Niehues, Isabel Slawik, Yuqi Zhang, Alex Waibel · 2014
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.