TextRandAug 0.0.4

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)

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 [e-mail] 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)