Metadata-Version: 2.1
Name: deepcorrect
Version: 1.0.5
Summary: Text Correction wth deep learning
Home-page: https://github.com/bedapudi6788/deepcorrect
Author: BEDAPUDI PRANEETH
Author-email: praneethbedapudi@gmail.com
License: GPLv3
Description: 
        # deepcorrect
        
        Pre-trained models for punctuation correction (trained on google news, wikipedia and tatoeba) are available at https://drive.google.com/open?id=1Yd8cJaqfQkrJMbRVWIWtuyo4obTDYu-e
        
        Demo of the punctuation model trained on google news corpus is available at http://bpraneeth.com/projects
        
        This repo uses a seq2seq model written by me in keras with tensorflow backend. The multi-purpose seq2seq model can be found at https://github.com/bedapudi6788/txt2txt/
        
        Usage:
        ```
        from deepcorrect import DeepCorrect
        corrector = DeepCorrect('params_path', 'checkpoint_path')
        corrector.correct('hey')
        'Hey!'
        ```
        
        # Installation:
        
        pip install deepcorrect
        
        # Points to Note:
        
        Max input and output lengths are 200
        
        Segment text into sentences using https://github.com/bedapudi6788/deepsegment and run punctuation correction on each sentence seperately.
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.6.0
Description-Content-Type: text/markdown
