Fluency Over Adequacy: A Pilot Study in Measuring User Trust in Imperfect MT

WS 2018 Marianna J. MartindaleMarine Carpuat

Although measuring intrinsic quality has been a key factor in the advancement of Machine Translation (MT), successfully deploying MT requires considering not just intrinsic quality but also the user experience, including aspects such as trust. This work introduces a method of studying how users modulate their trust in an MT system after seeing errorful (disfluent or inadequate) output amidst good (fluent and adequate) output... (read more)

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