TextRandAug 0.0.2

Random augmentation for text, Thanks to NLP week Professors and organizers, Prof.Dr. Paul Buitelaar, Dr. Omnia Zayed, Dr. Mihael Arcan, Dr. John McCrae and Janet Choi 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