A Structured Prediction Approach for Statistical Machine Translation
Dakun Zhang, Le Sun, Wenbo Li · 2008
We propose a new formally syntax-based method for statistical machine translation. Transductions between parsing trees are transformed into a problem of sequence tagging, which is then tackled by a searchbased structured prediction method. This allows us to automatically acquire translation knowledge from a parallel corpus without the need of complex linguistic parsing. This method can achieve comparable results with phrase-based method (like Pharaoh), however, only about ten percent number of translation table is used. Experiments show that the structured prediction approach for SMT is promising for its strong ability at combining words. 1