@inproceedings{pal-etal-2017-neural,
title = "Neural Automatic Post-Editing Using Prior Alignment and Reranking",
author = "Pal, Santanu and
Naskar, Sudip Kumar and
Vela, Mihaela and
Liu, Qun and
van Genabith, Josef",
editor = "Lapata, Mirella and
Blunsom, Phil and
Koller, Alexander",
booktitle = "Proceedings of the 15th Conference of the {E}uropean Chapter of the Association for Computational Linguistics: Volume 2, Short Papers",
month = apr,
year = "2017",
address = "Valencia, Spain",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/E17-2056",
pages = "349--355",
abstract = "We present a second-stage machine translation (MT) system based on a neural machine translation (NMT) approach to automatic post-editing (APE) that improves the translation quality provided by a first-stage MT system. Our APE system (APE{\_}Sym) is an extended version of an attention based NMT model with bilingual symmetry employing bidirectional models, mt{--}pe and pe{--}mt. APE translations produced by our system show statistically significant improvements over the first-stage MT, phrase-based APE and the best reported score on the WMT 2016 APE dataset by a previous neural APE system. Re-ranking (APE{\_}Rerank) of the n-best translations from the phrase-based APE and APE{\_}Sym systems provides further substantial improvements over the symmetric neural APE model. Human evaluation confirms that the APE{\_}Rerank generated PE translations improve on the previous best neural APE system at WMT 2016.",
}
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<abstract>We present a second-stage machine translation (MT) system based on a neural machine translation (NMT) approach to automatic post-editing (APE) that improves the translation quality provided by a first-stage MT system. Our APE system (APE_Sym) is an extended version of an attention based NMT model with bilingual symmetry employing bidirectional models, mt–pe and pe–mt. APE translations produced by our system show statistically significant improvements over the first-stage MT, phrase-based APE and the best reported score on the WMT 2016 APE dataset by a previous neural APE system. Re-ranking (APE_Rerank) of the n-best translations from the phrase-based APE and APE_Sym systems provides further substantial improvements over the symmetric neural APE model. Human evaluation confirms that the APE_Rerank generated PE translations improve on the previous best neural APE system at WMT 2016.</abstract>
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%0 Conference Proceedings
%T Neural Automatic Post-Editing Using Prior Alignment and Reranking
%A Pal, Santanu
%A Naskar, Sudip Kumar
%A Vela, Mihaela
%A Liu, Qun
%A van Genabith, Josef
%Y Lapata, Mirella
%Y Blunsom, Phil
%Y Koller, Alexander
%S Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F pal-etal-2017-neural
%X We present a second-stage machine translation (MT) system based on a neural machine translation (NMT) approach to automatic post-editing (APE) that improves the translation quality provided by a first-stage MT system. Our APE system (APE_Sym) is an extended version of an attention based NMT model with bilingual symmetry employing bidirectional models, mt–pe and pe–mt. APE translations produced by our system show statistically significant improvements over the first-stage MT, phrase-based APE and the best reported score on the WMT 2016 APE dataset by a previous neural APE system. Re-ranking (APE_Rerank) of the n-best translations from the phrase-based APE and APE_Sym systems provides further substantial improvements over the symmetric neural APE model. Human evaluation confirms that the APE_Rerank generated PE translations improve on the previous best neural APE system at WMT 2016.
%U https://aclanthology.org/E17-2056
%P 349-355
Markdown (Informal)
[Neural Automatic Post-Editing Using Prior Alignment and Reranking](https://aclanthology.org/E17-2056) (Pal et al., EACL 2017)
ACL
- Santanu Pal, Sudip Kumar Naskar, Mihaela Vela, Qun Liu, and Josef van Genabith. 2017. Neural Automatic Post-Editing Using Prior Alignment and Reranking. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 349–355, Valencia, Spain. Association for Computational Linguistics.