An Ngram-based Reordering Model
Résumé
This paper describes in detail a novel approach to the reordering challenge in statistical machine translation (SMT). This Ngram-based Reordering (NbR) approach uses the powerful techniques of SMT systems to generate a weighted reordering graph. Thus, statistical criteria reordering constraints are supplied to an SMT system, and this allows an extension to the SMT decoding search.
Origine | Fichiers produits par l'(les) auteur(s) |
---|