DFKI’s experimental hybrid MT system for WMT 2015
By Eleftherios Avramidis, Maja Popovic, Aljoscha Burchardt. 2015
8 citations recorded by the source corpus.
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).
Subfields: Artificial Intelligence
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
Citations in the corpus
- DFKI’s system for WMT16 IT-domain task, including analysis of systematic errors (2016, methodology): “We are presenting extensions on our hybrid MT approach from the WMT 2015 translation task in the generic-domain (Avramidis et al., 2015).”