This section describes the Ngram-based reordering approach. The aim of the NbR technique is to use an SMT system to deal with reordering problems. Therefore, ...

This Ngram-based reordering (NbR) approach uses the powerful techniques of SMT systems to generate a weighted reor- dering graph. Thus, statistical criteria ...

This Ngram-based reordering (NbR) approach uses the powerful techniques of SMT systems to generate a weighted reordering graph. Thus, statistical criteria ...

This Ngram-based Reordering (NbR) approach uses the powerful techniques of SMT systems to generate a weighted reordering graph. Thus, statistical criteria ...

A domain adaptation technique which is based on a linear combination of an specific in-domain and an extra out-domain translation models which offers a ...

This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of ...

This paper addresses the question of reordering for an Ngram-based SMT approach following two complementary strategies, namely reordered search and tuple ...

An Ngram-based reordering model ; Publication date. July 2009 ; Publisher. Elsevier BV ; Journal. Computer Speech & Language ...

Reordering patterns are extracted using word-to-word alignments. The generalization power is achieved through the POS tags. Three instances of different ...

The NbR approach is capable of generalizing reorderings that have been learned during training, through the use of word classes instead of words themselves.