The Impact of Machine Translation Quality on Human Post-Editing

Philipp Koehn; Ulrich Germann

The Impact of Machine Translation Quality on Human Post-Editing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We investigate the effect of four different competitive machine translation systems on post-editor productivity and behaviour. The study involves four volunteers post-editing automatic translations of news stories from English to German. We see significant difference in productivity due to the systems (about 20%), and even bigger variance between post-editors.

Original language	English
Title of host publication	Proceedings of the EACL 2014 Workshop on Humans and Computer-assisted Translation
Place of Publication	Gothenburg, Sweden
Publisher	Association for Computational Linguistics
Pages	38-46
Number of pages	9
Publication status	Published - 1 Apr 2014

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Koehn Germann 2014 The Impact of Machine Translation Quality on Human Post-editingAccepted author manuscript, 120 KB

http://www.aclweb.org/anthology/W14-0307

CASMACAT
Koehn, P. (Principal Investigator)
EU government bodies
1/11/11 → 31/10/14
Project: Research
CASMACAT - 'Cognitive Analysis and Statistical Methods for Advanced Computer Aided Translation'
Koehn, P. (Principal Investigator)
EU government bodies
1/11/11 → 31/10/14
Project: Research
CASMACAT- 'Congnitive Analysis and Statistical Methods for Advanced Computer Aided Translation'
Koehn, P. (Principal Investigator)
EU government bodies
1/11/11 → 31/10/14
Project: Research

Cite this

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title = "The Impact of Machine Translation Quality on Human Post-Editing",

abstract = "We investigate the effect of four different competitive machine translation systems on post-editor productivity and behaviour. The study involves four volunteers post-editing automatic translations of news stories from English to German. We see significant difference in productivity due to the systems (about 20%), and even bigger variance between post-editors.",

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AB - We investigate the effect of four different competitive machine translation systems on post-editor productivity and behaviour. The study involves four volunteers post-editing automatic translations of news stories from English to German. We see significant difference in productivity due to the systems (about 20%), and even bigger variance between post-editors.

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EP - 46

BT - Proceedings of the EACL 2014 Workshop on Humans and Computer-assisted Translation

PB - Association for Computational Linguistics

CY - Gothenburg, Sweden

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The Impact of Machine Translation Quality on Human Post-Editing

Abstract

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Projects

CASMACAT

CASMACAT - 'Cognitive Analysis and Statistical Methods for Advanced Computer Aided Translation'

CASMACAT- 'Congnitive Analysis and Statistical Methods for Advanced Computer Aided Translation'

Cite this