Papers by Bhavana Srivastava
Generating Inflectional Errors for Grammatical Error Correction in Hindi (2020.aacl-srw)
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| Challenge: | Automated grammatical error correction is a data-heavy task . indic languages have a relatively low amount of digitized content and complex morphology . |
| Approach: | They generate a corpus of inflectional errors for training neural networks to correct grammatical errors in Hindi. |
| Outcome: | The proposed model trains on a corpus of inflectional errors extracted from Wikipedia edits. |