The Karlsruhe Institute of Technology Translation Systems for the WMT 2015

摘要

In this paper, the KIT systems submitted to the Shared Translation Task are presented. We participated in two translation directions: from German to English and from English to German. Both translations are generated using phrase-based translation systems. The performance of the systems was boosted by using language models built based on different tokens such as word, part-of-speech, and automacally generated word clusters. The difference in word order between German and English is addressed by part-of-speech and syntactic tree-based reordering models. In addition to a discriminative word lexicon, we used hypothesis rescoring using the ListNet algorithm after generating the translation with the phrase-based system. We evaluated the rescoring using only the baseline features as well as using additional computational complex features.