Papers by Rohit Kundu
Zero-shot Disfluency Detection for Indian Languages (2022.coling-1)
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| Challenge: | Disfluency correction models can help alleviate this problem, but the unavailability of labeled data in low-resource languages impairs progress. |
| Approach: | They propose to use a pretrained multilingual model to detect zero-shot disfluency in Indian languages. |
| Outcome: | The proposed model achieves F1 scores of 75 and higher on five disfluency types across four languages. |