Phrase based language models have been recognized to have an advantage over word based language models since they allow us to capture long span ning dependencies Class based language models have been used to improve model generalization and overcome problems with data sparseness In this pa per we present a novel approach for combining the phrase acquisition with class construction process to au...

This paper describes statistical machine translation improved by applying hierarchical phrase alignment. The hierarchical phrase alignment is a method to align bilingual sentences phrase-by-phrase employing the partial parse results. Based on the hierarchical phrase alignment, a translation model is trained on a chunked corpus by converting hierarchically aligned phrases into a sequence of chun...

Phrase-based machine translation models have shown to yield better translations than Word-based models, since phrase pairs encode the contextual information that is needed for a more accurate translation. However, many phrase pairs do not encode any relevant context, which means that the translation event encoded in that phrase pair is led by smaller translation events that are independent from...