Evaluating Machine Translation for Emotion-loaded User Generated Content (TransEval4Emo-UGC)

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Shenbin Qian, Constantin Orasan, Félix do Carmo, Diptesh Kanojia

Published: 01 Jan 2024, Last Modified: 17 Jul 2025EAMT (2) 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: This paper presents a dataset for evaluating the machine translation of emotion-loaded user generated content. It contains human-annotated quality evaluation data and post-edited reference translations. The dataset is available at our GitHub repository.