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Bridging SMT and TM with translation recommendation

He, Yifan, Ma, Yanjun, van Genabith, Josef orcid logoORCID: 0000-0003-1322-7944 and Way, Andy orcid logoORCID: 0000-0001-5736-5930 (2010) Bridging SMT and TM with translation recommendation. In: ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, 11-16 July 2010, Uppsala, Sweden.

We propose a translation recommendation framework to integrate Statistical Machine Translation (SMT) output with Translation Memory (TM) systems. The framework recommends SMT outputs to a TM user when it predicts that SMT outputs are more suitable for post-editing than the hits provided by the TM. We describe an implementation of this framework using an SVM binary classifier. We exploit methods to fine-tune the classifier and investigate a variety of features of different types. We rely on automatic MT evaluation metrics to approximate human judgements in our experiments. Experimental results show that our system can achieve 0.85 precision at 0.89 recall, excluding exact matches. futhermore, it is possible for the end-user to achieve a desired balance between precision and recall by adjusting confidence levels.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:Research Institutes and Centres > Centre for Next Generation Localisation (CNGL)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics. . Association for Computational Linguistics.
Publisher:Association for Computational Linguistics
Official URL:http://www.aclweb.org/anthology/P/P10/
Copyright Information:© 2010 Association for Computational Linguistics
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:15793
Deposited On:10 Nov 2010 13:33 by Shane Harper . Last Modified 09 Nov 2018 15:44

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