Word-Based Human Edit Rate (WHER) as an Indicator of Post-editing Effort

Author:

Huang Jie,Carl Michael

Publisher

Springer International Publishing

Reference49 articles.

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2. Bangalore S, Behrens B, Carl M et al (2016) Syntactic variance and priming effects in translation. In: Carl M, Bangalore S, Schaeffer M (eds) New directions in empirical translation process research exploring the CRITT TPR-DB. Springer, Cham, pp 211–238

3. Basu P, Pal S, Naskar SK (2018) Keep it or not: word level quality estimation for post-editing. In: Proceedings of the third conference on machine translation (WMT). Association for Computational Linguistics, Brussels, pp 772–777

4. Burchardt A, Lommel A, Bywood L et al (2016) Machine translation quality in an audiovisual context. Target 28(2):206–221

5. Bywood L, Volk M, Fishel M, Georgakopoulou P (2013) Parallel subtitle corpora and their applications in machine translation and translatology. Perspectives 21(4):595–610

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