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Text Correction wth deep learning

Project description


Pre-trained models for punctuation correction (trained on google news, wikipedia and tatoeba) are available at

Demo of the punctuation model trained on google news corpus is available at

This repo uses a seq2seq model written by me in keras with tensorflow backend. The multi-purpose seq2seq model can be found at


from deepcorrect import DeepCorrect
corrector = DeepCorrect('params_path', 'checkpoint_path')


pip install deepcorrect

Points to Note:

Max input and output lengths are 200

Segment text into sentences using and run punctuation correction on each sentence seperately.

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