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Findings of the 2021 Conference on Machine Translation (WMT21)
This paper presents the results of the newstranslation task, the multilingual low-resourcetranslation for Indo-European languages, thetriangular translation task, and the automaticpost-editing task organised as part of the Con-ference on Machine Translation (WMT) 2021. In the news task, participants were asked tobuild machine translation systems for any of10 language pairs, to be evaluated on test setsconsisting mainly of news stories.
Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara
Low-resource languages present unique challenges to (neural) machine translation.
Sensing and Learning Human Annotators Engaged in Narrative Sensemaking
While labor issues and quality assurance in crowdwork are increasingly studied, how annotators make sense of texts and how they are personally impacted by doing so are not.
Understanding the Semantics of Narratives of Interpersonal Violence through Reader Annotations and Physiological Reactions
Interpersonal violence (IPV) is a prominent sociological problem that affects people of all demographic backgrounds.
Analyzing Gender Bias in Student Evaluations
University students in the United States are routinely asked to provide feedback on the quality of the instruction they have received.
