Papers by Ujjwal Sharma
Hi-GEC: Hindi Grammar Error Correction in Low Resource Scenario (2025.coling-main)
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| Challenge: | Automated Grammatical Error Correction (GEC) is a scarcely explored low-resource language . a recent study focused on English, but it focused on Hindi, which presents unique challenges due to its complex syntax and intricate morphology. |
| Approach: | They propose to use a human-edited dataset to generate Hindi GEC data . they also investigate round trip translation using diverse languages for the technique . |
| Outcome: | The proposed method outperforms other methods in Hindi, showing that it is highly efficient. |
IndiGEC: Multilingual Grammar Error Correction for Low-Resource Indian Languages (2025.emnlp-main)
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| Challenge: | despite growing interest in GEC, most research has focused on English due to the lack of benchmark datasets for low-resource lan-guages. |
| Approach: | They propose a new approach to generate high-quality synthetic data for GEC using monolingual corpora. |
| Outcome: | The proposed framework outperforms other monolingual methods in English, Hindi, Bengali, Marathi, and Tamil. |