DAugSindhi: a data augmentation approach for enhancing Sindhi language text classification
Abstract Sindhi, a low-resource language spoken by millions, faces significant challenges in Natural Language Processing (NLP) due to the scarcity of annotated datasets. This paper presents DAugSindhi, a study focused on enhancing Sindhi text classification through data augmentation techniques. Thes...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-06-01
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| Series: | Discover Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44248-025-00040-8 |
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