Papers by Amr Sharaf
Leveraging GPT-4 for Automatic Translation Post-Editing (2023.findings-emnlp)
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| Challenge: | Neural Machine Translation models still require translation post-editing to rectify errors and enhance quality under critical settings. |
| Approach: | They use GPT-4 to automatically post-edit NMT outputs across several language pairs . they show that GPT4 is adept at translation post- editing, producing meaningful edits . |
| Outcome: | The proposed translation post-editor improves on state-of-the-art language models on English-Chinese, English-German, Chinese-English and German-English language pairs. |
Active Imitation Learning with Noisy Guidance (2020.acl-main)
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| Challenge: | Structured prediction methods learn models to map inputs to complex outputs with internal dependencies. |
| Approach: | They propose an algorithm that mimics an expert's choice at any queried state . they apply LEAQI to three sequence labelling tasks to reduce query costs . |
| Outcome: | The proposed algorithm shows better accuracies over a passive approach. |