| Challenge: | Especially the trend towards neural MT has renewed peoples' interest in better and more analytical diagnostic methods for MT quality. |
| Approach: | They propose a framework that supports a linguistic evaluation of machine translations using test suites. |
| Outcome: | The proposed framework supports linguistic evaluation of (machine) translations using test suites. |
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| Challenge: | Existing studies on the impact of feedback on human decision-making are limited as people are not equipped to assess the quality of AI predictions. |
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Yuchen Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Rico Sennrich, Ryan Cotterell, Mrinmaya Sachan, Ming Zhou
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Informative Manual Evaluation of Machine Translation Output (2020.coling-main)
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| Challenge: | a new method for manual evaluation of machine translation output is proposed . evaluators mark problematic parts of the translated text, not just overall scores . |
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