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        <title>Pre-ordering of phrase-based machine translation input in translation workflow</title>
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            <title>Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)</title>
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    <abstract>Word reordering is a difficult task for decoders when the languages involved have a significant difference in syntax. Phrase-based statistical machine translation (PBSMT), preferred in commercial settings due to its maturity, is particularly prone to errors in long range reordering. Source sentence pre-ordering, as a pre-processing step before PBSMT, proved to be an efficient solution that can be achieved using limited resources. We propose a dependency-based pre-ordering model with parameters optimized using a reordering score to pre-order the source sentence. The source sentence is then translated using an existing phrase-based system. The proposed solution is very simple to implement. It uses a hierarchical phrase-based statistical machine translation system (HPBSMT) for pre-ordering, combined with a PBSMT system for the actual translation. We show that the system can provide alternate translations of less post-editing effort in a translation workflow with German as the source language.</abstract>
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%0 Conference Proceedings
%T Pre-ordering of phrase-based machine translation input in translation workflow
%A Ceausu, Alexandru
%A Hunsicker, Sabine
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 may
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F ceausu-hunsicker-2014-pre
%X Word reordering is a difficult task for decoders when the languages involved have a significant difference in syntax. Phrase-based statistical machine translation (PBSMT), preferred in commercial settings due to its maturity, is particularly prone to errors in long range reordering. Source sentence pre-ordering, as a pre-processing step before PBSMT, proved to be an efficient solution that can be achieved using limited resources. We propose a dependency-based pre-ordering model with parameters optimized using a reordering score to pre-order the source sentence. The source sentence is then translated using an existing phrase-based system. The proposed solution is very simple to implement. It uses a hierarchical phrase-based statistical machine translation system (HPBSMT) for pre-ordering, combined with a PBSMT system for the actual translation. We show that the system can provide alternate translations of less post-editing effort in a translation workflow with German as the source language.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/1213_Paper.pdf
%P 3589-3592

Markdown (Informal)

[Pre-ordering of phrase-based machine translation input in translation workflow](http://www.lrec-conf.org/proceedings/lrec2014/pdf/1213_Paper.pdf) (Ceausu & Hunsicker, LREC 2014)

• Pre-ordering of phrase-based machine translation input in translation workflow (Ceausu & Hunsicker, LREC 2014)

ACL

• Alexandru Ceausu and Sabine Hunsicker. 2014. Pre-ordering of phrase-based machine translation input in translation workflow. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 3589–3592, Reykjavik, Iceland. European Language Resources Association (ELRA).