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Machine Translation

, Volume 30, Issue 3–4, pp 167–181 | Cite as

Combining off-the-shelf components to clean a translation memory

  • Friedel WolffEmail author
Article

Abstract

We present a system to identify erroneous entries in a translation memory. It is a machine learning system that learns to classify entries according to either a strict or a permissive view on correctness. It is trained on features relating to segment length, translation quality checks, spelling and grammar errors, and additionally uses external data for detecting problems with fluency and lexical choice.

Keywords

Translation memory Translation memory cleaning Translation quality 

Notes

Acknowledgements

This research was supported by the Academy of African Languages and Science Strategic Project of the University of South Africa. The author thanks the anonymous reviewers for valuable feedback.

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Copyright information

© Springer Science+Business Media Dordrecht 2017

Authors and Affiliations

  1. 1.AALS, College of Graduate StudiesUniversity of South AfricaPretoriaSouth Africa

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