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Random augmentation for text, Thanks to NLP week Professors and instructors at National University of Ireland, Galway

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Inspired by state-of-the-art data augmentation technique, RandAug, we propose Text random data augmentation, that use randAug approach for text data, 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

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