DFKI participated in the shared translation task of WMT 2015 with the GermanEnglish language pair in each translation direction. The submissions were generated using an experimental hybrid system based on three systems: a statistical Moses system, a commercial rule-based system, and a serial coupling of the two where the output of the rule-based system is further translated by Moses trained on parallel text consisting of the rule-based output and the original target language. The outputs of three systems are combined using two methods: (a) an empirical selection mechanism based on grammatical features (primary submission) and (b) IBM1 models based on POS 4-grams (contrastive submission).
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DFKI’s experimental hybrid MT system for WMT 2015
Semantic Scholar · Computer Science · 2015
Abstract
DFKI participated in the shared translation task of WMT 2015 with the GermanEnglish language pair in each translation direction. The submissions were generated using an experimental hybrid system based on three systems: a statistical Moses system, a commercial rule-based system, and a serial coupling of the two where the output of the rule-based system is further translated by Moses trained on parallel text consisting of the rule-based output and the original target language. The outputs of three systems are combined using two methods: (a) an empirical selection mechanism based on grammatical features (primary submission) and (b) IBM1 models based on POS 4-grams (contrastive submission).
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