2019
ACL
ACL 2019
The Unbearable Weight of Generating Artificial Errors for Grammatical Error Correction
Abstract
AbstractIn this paper, we investigate the impact of using 4 recent neural models for generating artificial errors to help train the neural grammatical error correction models. We conduct a battery of experiments on the effect of data size, models, and comparison with a rule-based approach.
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Interdisciplinary Bridge
- Interdisciplinary and Machine Learning
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Keyword Pioneer
- artificial error
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Cross-Pollinator
- Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio