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Bangla Spelling Error Correction On Dpcspell
Metrics
Exact Match Accuracy
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| DPCSpell | 94.78 | DPCSpell: A Transformer-based Detector-Purificator-Corrector Framework for Spelling Error Correction of Bangla and Resource Scarce Indic Languages | |
| DTransformer | 90.44% | Spelling Correction with Denoising Transformer | - |
| ConvSeq2Seq | 78.85% | Convolutional Sequence to Sequence Learning | |
| GRUSeq2Seq | 75.56 | Neural Machine Translation by Jointly Learning to Align and Translate |
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