Literary Machine Translation under the Magnifying Glass: Assessing the Quality of an NMT-Translated Detective Novel on Document Level (2020.lrec-1)
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| Challenge: | Several studies have demonstrated that translation quality has improved enormously since the emergence of neural machine translation systems. |
| Approach: | They performed a document-level evaluation of the raw NMT output of an entire novel and annotated it in two steps: first all fluency errors, then all accuracy errors. |
| Outcome: | The results show that translation quality has improved enormously since the emergence of neural machine translation systems. |
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