Machine Translation for Open Scholarly Communication: Examining the Relationship between Translation Quality and Reading Effort
Lieve Macken,
Vanessa De Wilde,
Arda Tezcan
Abstract:This study assesses the usability of machine-translated texts in scholarly communication, using self-paced reading experiments with texts from three scientific disciplines, translated from French into English and vice versa. Thirty-two participants, proficient in the target language, participated. This study uses three machine translation engines (DeepL, ModernMT, OpenNMT), which vary in translation quality. The experiments aim to determine the relationship between translation quality and readers’ reception ef… Show more
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