Bangla Spelling Error Correction
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Benchmarks
DPCSpell-Bangla-SEC-Corpus
Most implemented
Neural Machine Translation by Jointly Learning to Align and Translate
Convolutional Sequence to Sequence Learning
Papers
DPCSpell: A Transformer-based Detector-Purificator-Corrector Framework for Spelling Error Correction of Bangla and Resource Scarce Indic Languages
Spelling error correction is the task of identifying and rectifying misspelled words in texts. It is a potential and active research topic in Natural Language Processing because of numerous applications in human language…
Bangla Spelling Error CorrectionDenoisingSpelling Correction with Denoising Transformer
We present a novel method of performing spelling correction on short input strings, such as search queries or individual words. At its core lies a procedure for generating artificial typos which closely follow the error …
Bangla Spelling Error CorrectionDenoisingSpelling CorrectionConvolutional Sequence to Sequence Learning
The prevalent approach to sequence to sequence learning maps an input sequence to a variable length output sequence via recurrent neural networks. We introduce an architecture based entirely on convolutional neural netwo…
Bangla Spelling Error CorrectionCPUDecoderGPU+3Neural Machine Translation by Jointly Learning to Align and Translate
Neural machine translation is a recently proposed approach to machine translation. Unlike the traditional statistical machine translation, the neural machine translation aims at building a single neural network that can …
Bangla Spelling Error CorrectionDecoderDialogue GenerationMachine Translation+2