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Estimating the quality of translated user-generated content

Rubino, Raphael, Foster, Jennifer orcid logoORCID: 0000-0002-7789-4853, Kaljahi, Rasoul Samed Zadeh, Roturier, Johann and Hollowood, Fred (2013) Estimating the quality of translated user-generated content. In: International Joint Conference on Natural Language Processing (IJCNLP), 14-18 Oct 2013, Nagoya, Japan.

Previous research on quality estimation for machine translation has demonstrated the possibility of predicting the translation quality of well-formed data. We present a first study on estimating the translation quality of user-generated con- tent. Our dataset contains English technical forum comments which were trans- lated into French by three automatic systems. These translations were rated in terms of both comprehensibility and fidelity by human annotators. Our experiments show that tried-and-tested quality estimation features work well on this type of data but that extending this set can be beneficial. We also show that the performance of particular types of features de- pends on the type of system used to produce the translation.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:Quality estimation
Subjects:Computer Science > Machine translating
Computer Science > Computational linguistics
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: Proceedings of International Joint Conference on Natural Language Processing (IJCNLP). .
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:19960
Deposited On:26 May 2014 12:59 by Jennifer Foster . Last Modified 10 Oct 2018 13:49

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