Ngram-based statistical machine translation enhanced with multiple weighted reordering hypotheses
Marta R. Costa‐jussà, Josep Crego, Patrik Lambert, Maxim Khalilov, José A. R. Fonollosa, José Bernardo Mariño Acebal, Rafael E. Banchs · 2007
This paper describes the 2007 Ngram-based statistical machine translation system developed at the TALP Research Center of the UPC (Universitat Politècnica de Catalunya) in Barcelona. Emphasis is put on improvements and extensions of the previous years system, being highlyghted and empirically compared. Mainly, these include a novel word ordering strategy based on: (1) statistically monotonizing the training source corpus and (2) a novel reordering approach based on weighted reordering graphs. In addition, this system introduces a target language model based on statistical classes, a feature for out-of-domain units and an improved optimization procedure.