Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content?
This paper investigates whether large language models (LLMs) are state-of-the-art quality
estimators for machine translation of user-generated content (UGC) that contains emotional …
estimators for machine translation of user-generated content (UGC) that contains emotional …
A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content
Machine translation (MT) of user-generated content (UGC) poses unique challenges,
including handling slang, emotion, and literary devices like irony and sarcasm. Evaluating …
including handling slang, emotion, and literary devices like irony and sarcasm. Evaluating …
Challenges of Human vs Machine Translation of Emotion-Loaded Chinese Microblog Texts
This paper attempts to identify challenges professional translators face when translating
emotion-loaded texts as well as errors machine translation (MT) makes when translating this …
emotion-loaded texts as well as errors machine translation (MT) makes when translating this …
Evaluating Machine Translation for Emotion-loaded User Generated Content (TransEval4Emo-UGC)
Evaluating Machine Translation for Emotion-loaded User Generated Content (TransEval4Emo-UGC)
Page 1 Proceedings of the 25th Annual Conference of the European Association for Machine …
Page 1 Proceedings of the 25th Annual Conference of the European Association for Machine …