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

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.

Publication
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2)