Metadata-Version: 2.1
Name: TextRandAug
Version: 0.0.4
Summary:  We are highly thankful to Dr. Paul Buitelaar, Dr. Omnia Zayed, Dr. Mihael Arcan, Dr. John McCrae and Janet Choi. This module was built during 5th week CRT-AI training (NLP week) at National University of Ireland, Galway)
Home-page: UNKNOWN
Author: Jovan Jeromela,Liam De La Cour , Aaron Flannagan, Amandeep Singh and Teerath Kumar
Author-email: i141637@nu.edu.pk
License: UNKNOWN
Description: Inspired by state-of-the-art data augmentation technique, RandAug, we propose Text random data augmentation, that use randAug approach for text data. Any issue faced by you should be reported to i141637@nu.edu.pk 
         Description of function is parameteres: 
         training original: is input file in txt format, each line have a label separated from sentence by tab 
          output file: output file path 
                alpha_sr: parameter for controlling replacement 
               alpha_ri: parameter for controlling random insertion  
         alpha_rs: parameter for controlling random swaping 
          alpha_rd: parameter for controlling random deletion 
         num_aug: is number of augmentation, by default 9. Examples with demo will soon be released, (Under progress)
Keywords: python,text data augmentation,random augmentation,randAug
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
