Distance phrase reordering for moses - user manual and code guide

Y Ni, M Niranjan, C Saunders, S Szedmak

Research output: Working paperWorking paper and Preprints

Abstract

We describe the implementation of a novel distance phrase reordering (DPR) model for a public domain statistical machine translation (SMT) system - MOSES. The model mainly focuses on the application of machine learning (ML) techniques to a specific problem in machine translation: learning the grammatical rules and content dependent changes, which are simplified as phrase reorderings. This document serves two purposes: a user manual for the functions of the DPR model and a code guide for developers.
Translated title of the contributionDistance phrase reordering for moses - user manual and code guide
Original languageEnglish
PublisherUniversity of Southampton
Number of pages43
Publication statusPublished - 2010

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