Integration of statistical collocation segmentations in a phrase-based statistical machine translation system
Tipo de documentoTexto en actas de congreso
Fecha de publicación2010
Condiciones de accesoAcceso abierto
This study evaluates the impact of integrating two different collocation segmentations methods in a standard phrase-based statistical machine translation approach. The collocation segmentation techniques are implemented simultaneously in the source and target side. Each resulting collocation segmentation is used to extract translation units. Experiments are reported in the English-to-Spanish Bible task and promising results (an improvement over 0.7 BLEU absolute) are achieved in translation quality.
CitaciónRuiz, M., Daudaravicius, V., Banchs, R. Integration of statistical collocation segmentations in a phrase-based statistical machine translation system. A: Annual Conference of the European Association for Machine Translation. "EAMT 2010: proceedings of the 14th annual conference of the European Association for Machine Translation". Saint-Raphaël: 2010.