Felipe De Almeida Costa, Adriana S. Pagano, Thiago Castro Ferreira, W. Meira Jr.
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引用次数: 0
Abstract
We report on a study exploring automatic edit annotation in a post-editing corpus with a new method for computing edit types. We examine edit type association with quality scores assigned to the machine translation output and the post-edited texts. Finally, we account for shortcomings in our method and point out edit types worth leveraging.
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