Papers with Machine Translation Quality Estimation
Quality Estimation for Automatically Generated Titles of eCommerce Browse Pages (N18-3)
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| Challenge: | We are generating millions of titles using machine translation, but they are prone to errors. |
| Approach: | They propose a Random Forest model which explores hand-crafted features and new features . they also propose SNs which embed metadata and generated title in the same space . |
| Outcome: | The proposed models outperform the existing models on in-house data. |
Bias Mitigation in Machine Translation Quality Estimation (2022.acl-long)
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| Challenge: | despite advances in machine translation, the accuracy and fluency of translations cannot be guaranteed without a reference translation. |
| Approach: | They propose to use auxiliary tasks to mitigate partial input bias . they aim to train a multitask architecture with an auxiliary binary classification task . |
| Outcome: | The proposed models reduce partial input bias while maintaining the overall performance. |