Mitchell, Linda, Roturier, Johann and O'Brien, Sharon (2013) Community-based post-editing of machine-translated content: monolingual vs. bilingual. In: Machine Translation Summit XIV, 2-6 Sept. 2013, Nice, France.
Abstract
We carried out a machine-translation postediting pilot study with users of an IT support forum community. For both language pairs (English to German, English to French), 4 native speakers for each language were recruited. They performed monolingual and bilingual postediting tasks on machine-translated forum content. The post-edited content was evaluated using human evaluation (fluency, comprehensibility, fidelity). We found that monolingual post-editing can lead to improved fluency and comprehensibility scores similar to those achieved through bilingual post-editing, while we found that fidelity improved considerably more for the bilingual set-up. Furthermore, the performance across post-editors varied greatly and it was found that some post-editors are able to produce better quality in a monolingual set-up than others.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
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Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | Post editing |
Subjects: | Computer Science > Machine translating Humanities > Translating and interpreting |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Humanities and Social Science > School of Applied Language and Intercultural Studies Research Initiatives and Centres > Centre for Translation and Textual Studies (CTTS) |
Published in: | Proceedings European Association for Machine Translation (EAMT) 2014. . European Association for Machine Translation. |
Publisher: | European Association for Machine Translation |
Official URL: | http://www.mtsummit2013.info/proceedings.asp?r=201... |
Copyright Information: | © 2013 European Association for Machine Translation |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | European Framework Programme 7 |
ID Code: | 20030 |
Deposited On: | 15 Jul 2014 08:48 by Sharon O'brien . Last Modified 19 Jul 2018 15:03 |
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