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Measuring the Impact of Spelling Errors on the Quality of Machine Translation
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2014)
Abstract
In this paper we show how different types of spelling errors influence the quality of machine translation. We also propose a method to evaluate the impact of spelling errors correction on translation quality without expensive manual work of providing reference translations.