The Karlsruhe Institute of Technology Translation Systems for the WMT 2014
By Eunah Cho, Thanh-Le Ha, Mohammed Mediani, Jan Niehues, Teresa Herrmann, Isabel Slawik, A. Waibel. 2014
11 citations recorded by the source corpus.
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.
Subfields: Artificial Intelligence, Machine Translation
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Philipp Koehn
- Rico Sennrich
- Felix Stahlberg
- Graham Neubig
- Yonatan Belinkov
- Nadir Durrani
- Yoav Goldberg
- Jörg Tiedemann
In Machine Translation
- Rico Sennrich
- Philipp Koehn
- Matthias Huck
- Nadir Durrani
- Philip Williams
- Maria Nadejde
- Christian Hardmeier
- Jörg Tiedemann
Citations in the corpus
- Findings of the 2014 Workshop on Statistical Machine Translation (2014, neutral): “For example, in WMT11 Callison-Burch et al. (2011), the metric computed the percentage of the time each system was ranked better than or equal to other systems, and included comparisons to human references.”
- EU-BRIDGE MT: Combined Machine Translation (2014, methodology): “The KIT translations (Herrmann et al., 2014) are generated by an in-house phrase-based translations system (Vogel, 2003).”
- Anaphora Models and Reordering for Phrase-Based SMT (2014, methodology): “The fundamental setup is loosely based on the system submitted by Cho et al. (2013) to the WMT 2013 shared task.”