The Karlsruhe Institute of Technology Translation Systems for the WMT 2015

By Eunah Cho, Thanh-Le Ha, Jan Niehues, Teresa Herrmann, Mohammed Mediani, Yuqi Zhang, A. Waibel. 2015

8 citations recorded by the source corpus.

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.

Subfields: Artificial Intelligence, Machine Translation