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Multi-view fusion for universal translation quality estimation
Abstract Machine translation quality estimation (QE) aims to evaluate the result of translation
without reference. Despite the progress it has made, state-of-the-art QE models are proven …
without reference. Despite the progress it has made, state-of-the-art QE models are proven …
Word-level quality estimation for Korean-English neural machine translation
Quality estimation (QE) task aims to predict the machine translation (MT) quality well by
referring to the source sentence and its MT output. The various applicability of QE proves the …
referring to the source sentence and its MT output. The various applicability of QE proves the …
Contrastive Learning for Machine Translation Quality Estimation
Abstract Machine translation quality estimation (QE) aims to evaluate the result of translation
without reference. Existing approaches require large amounts of training data or model …
without reference. Existing approaches require large amounts of training data or model …
Definition Modelling for English and Portuguese: a comparison between models and settings
AB Dimas Furtado - 2022 - wlv.openrepository.com
Definitions are key for many areas of knowledge; they convey meaning, refer to product
conceptualization and naming, facilitate communication, provide clarity, and pervade all …
conceptualization and naming, facilitate communication, provide clarity, and pervade all …
Word-level Korean-English quality estimation
기계번역 품질 예측 (Quality Estimation, QE) 은 정답 문장에 대한 참조없이 소스 문장과
기계번역 결과를 통해 기계번역 결과에 대한 품질을 수준별 주석으로 나타내주는 태스크이며 …
기계번역 결과를 통해 기계번역 결과에 대한 품질을 수준별 주석으로 나타내주는 태스크이며 …