QE BERT: Bilingual BERT Using Multi-task Learning for Neural Quality Estimation

WS 2019 Hyun KimJoon-Ho LimHyun-Ki KimSeung-Hoon Na

For translation quality estimation at word and sentence levels, this paper presents a novel approach based on BERT that recently has achieved impressive results on various natural language processing tasks. Our proposed model is re-purposed BERT for the translation quality estimation and uses multi-task learning for the sentence-level task and word-level subtasks (i.e., source word, target word, and target gap)... (read more)

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