The Impact of Crowdsourcing Post-editing with the Collaborative Translation Framework-Reference-Cited by-同舟云学术

The Impact of Crowdsourcing Post-editing with the Collaborative Translation Framework

Published:2012 Issue: Volume: Page:1-10
ISSN:0302-9743
Container-title:Advances in Natural Language Processing
language:
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Author:

Aikawa Takako,Yamamoto Kentaro,Isahara Hitoshi

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-33983-7_1.pdf

Reference12 articles.

1. Allen, J.: Post-editing. In: Somers, H. (ed.) Computers and Translation: A Translator’s Guide, pp. 297–317. John Benjamins Publishing Company, Amsterdam (2003)

2. Allen, J.: What is post-editing? Translation Automation 4, 1–5 (2005)

3. O’Brien, S.: Methodologies for measuring the correlations between post-editing effortand machine translatability. Machine Translation 19(1), 37–58 (2005)

4. Guerberof, A.: Productivity and quality in MT post-editing. In: MT Summit XII – Workshop: Beyond Translation Memories: New Tools for Translators MT, Ottawa, Ontario, Canada, p. 8 (2009a)

5. Guerberof, A.: Productivity and quality in the post-editing of outputs from translation memories and machine translation. Localisation Focus. The International Journal of Localisation 7(1) (2009b)

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