Papers by Sanjana Soni
Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation (2024.lrec-main)
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| Challenge: | a number of languages are used in online conversations, resulting in code-mixing . the problem is largely unexplored due to the lack of annotated data and noise . |
| Approach: | They propose a robust perturbation-based joint-training model that learns to handle noise in code-mixed text by parameter sharing across clean and noisy words. |
| Outcome: | The proposed model learns to handle noise in the real-world code-mixed text by parameter sharing across clean and noisy words. |