Nov 1, 2018 · We propose a nested recurrent neural network (nested RNN) model for English spelling error correction and generate pseudo data based on phonetic ...

A nested recurrent neural network model that fuses orthographic information and context as a whole and is trained in an end-to-end fashion and does not rely ...

We propose a nested recurrent neural network (nested RNN) model for English spelling error correction and generate pseudo data based on phonetic similarity ...

We introduce NeuSpell, an open-source toolkit for spelling correction in English. Our toolkit comprises ten different models, and.

Spelling error correction using a nested rnn model and pseudo training data. ... Spelling error correction using a nested rnn model and pseudo training data.

We propose a nested recurrent neural network (nested RNN) model for English spelling error correction and generate pseudo data based on phonetic similarity to ...

To combat adversarial spelling mistakes, we propose placing a word recognition model in front of the downstream classifier. Our word.

The context-sensitive spelling error problem is solved using the deep learning method, which is not an existing statistical method, and the best correction ...

We introduce NeuSpell, an open-source toolkit for spelling correction in English. Our toolkit comprises ten different models, and benchmarks them on ...

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