International Workshop on Spoken Language Translation (IWSLT) 2006
Keihanna Science City, Kyoto, Japan
In this paper, we describe a novel phrase reordering model based on predicate-argument structure. Our phrase reordering method utilizes a general predicate-argument structure analyzer to reorder source language chunks based on predicate-argument structure. We explicitly model long-distance phrase alignments by reordering arguments and predicates. The reordering approach is applied as a preprocessing step in training phase of a phrase-based statistical MT system. We report experimental results in the evaluation campaign of IWSLT 2006.
Full Paper Presentation
Bibliographic reference. Komachi, Mamoru / Matsumoto, Yuji / Nagata, Masaaki (2006): "Phrase reordering for statistical machine translation based on predicate-argument structure", In IWSLT-2006, 77-82.