Distance phrase reordering for MOSES - User Manual and Code Guide
Distance phrase reordering for MOSES - User Manual and Code Guide
We 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.
Ni, Yizhao
0452e056-90d0-4feb-a97b-ff2689b6b492
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Saunders, Craig
26634635-4d4d-4469-b9ec-1d68788aa47a
Szedmak, Sandor
c6a84aa3-2956-4acf-8293-a1b676f6d7d8
April 2010
Ni, Yizhao
0452e056-90d0-4feb-a97b-ff2689b6b492
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Saunders, Craig
26634635-4d4d-4469-b9ec-1d68788aa47a
Szedmak, Sandor
c6a84aa3-2956-4acf-8293-a1b676f6d7d8
Ni, Yizhao, Niranjan, Mahesan, Saunders, Craig and Szedmak, Sandor
(2010)
Distance phrase reordering for MOSES - User Manual and Code Guide
Record type:
Monograph
(Project Report)
Abstract
We 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.
Text
integration_work_MOSES.pdf
- Version of Record
Archive
DPR_MOSES.zip
- Other
More information
Published date: April 2010
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 270939
URI: http://eprints.soton.ac.uk/id/eprint/270939
PURE UUID: 71f3d05d-c402-4200-92a9-20e82c5e882a
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Date deposited: 30 Apr 2010 09:30
Last modified: 15 Mar 2024 03:29
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Contributors
Author:
Yizhao Ni
Author:
Mahesan Niranjan
Author:
Craig Saunders
Author:
Sandor Szedmak
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