Add to ORKGWe describe the implementation of a novel distance phrase reordering (DPR) model for a public domain statistical machine translation (SMT) system - MOSES (http://www.statmt.org/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
[[abstract]]We introduce a method for learning to reorder source sentences. In our approach, sentenc...
This paper presents novel approaches to reordering in phrase-based statistical ma-chine translation....
Machine translation is the process of translating one natural language in to another natural languag...
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where...
We propose a distance phrase reordering model (DPR) for statistical machine trans-lation (SMT), wher...
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where...
This paper presents novel approaches to reordering in phrase-based statistical machine translation...
In state-of-the-art phrase-based statistical machine translation systems, modelling phrase reorderin...
In state-of-the-art phrase-based statistical machine translation systems (SMT), modelling phrase reo...
In this thesis, we explore and present machine learning (ML) approaches to a particularly challengin...
Reordering is of essential importance for phrase based statistical machine translation (SMT). In thi...
In this paper, we describe a novel phrase reordering model based on predicate-argument structure. Ou...
Machine translation is the application of machines to translate text or speech from one natural lang...
Machine translation is the task of automatically translating a text from one natural language into a...
Reordering model is important for the sta-tistical machine translation (SMT). Current phrase-based S...
[[abstract]]We introduce a method for learning to reorder source sentences. In our approach, sentenc...
This paper presents novel approaches to reordering in phrase-based statistical ma-chine translation....
Machine translation is the process of translating one natural language in to another natural languag...
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where...
We propose a distance phrase reordering model (DPR) for statistical machine trans-lation (SMT), wher...
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where...
This paper presents novel approaches to reordering in phrase-based statistical machine translation...
In state-of-the-art phrase-based statistical machine translation systems, modelling phrase reorderin...
In state-of-the-art phrase-based statistical machine translation systems (SMT), modelling phrase reo...
In this thesis, we explore and present machine learning (ML) approaches to a particularly challengin...
Reordering is of essential importance for phrase based statistical machine translation (SMT). In thi...
In this paper, we describe a novel phrase reordering model based on predicate-argument structure. Ou...
Machine translation is the application of machines to translate text or speech from one natural lang...
Machine translation is the task of automatically translating a text from one natural language into a...
Reordering model is important for the sta-tistical machine translation (SMT). Current phrase-based S...
[[abstract]]We introduce a method for learning to reorder source sentences. In our approach, sentenc...
This paper presents novel approaches to reordering in phrase-based statistical ma-chine translation....
Machine translation is the process of translating one natural language in to another natural languag...