2020/06/08 by Lukas Fischer, Samuel Läubli, Fischer, Lukas +1
Computer Science · Mathematics · #Artificial intelligence #Ask price #Compiler #Computation and Language (cs.CL) #Computer science #Domain (mathematical analysis) #FOS: Computer and information sciences #Linguistics #Machine translation #Mathematics #Natural Language Processing Techniques #Natural language processing #Programming language #Speech recognition #Terminology #Text Readability and Simplification #Topic Modeling #Translation (biology) #cs.CL
paper · pdf · doi:10.48550/arxiv.2006.04781
EAMT 2020 (Research Track)
arxiv created 2020/06/08 · openalex publication_date 2020/06/08 · arxiv updated 2020/06/09 · openalex created_date 2020/06/19 · openalex updated_date 2026/07/28
Machine translation (MT) has been shown to produce a number of errors that require human post-editing, but the extent to which professional human translation (HT) contains such errors has not yet been compared to MT. We compile pre-translated documents in which MT and HT are interleaved, and ask professional translators to flag errors and post-edit these documents in a blind evaluation. We find that the post-editing effort for MT segments is only higher in two out of three language pairs, and that the number of segments with wrong terminology, omissions, and typographical problems is similar in HT.