Comparative Quality Estimation for Machine Translation Observations on Machine Learning and Features
A deeper analysis on Comparative Quality Estimation is presented by extending the state-of-the-art methods with adequacy and grammatical features from other Quality Estimation tasks. The previously used linear method, unable to cope with the augmented features, is replaced with a boosting classifier...
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| Format: | Article |
| Language: | English |
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Sciendo
2017-06-01
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| Series: | Prague Bulletin of Mathematical Linguistics |
| Online Access: | https://doi.org/10.1515/pralin-2017-0029 |