CPC G06V 30/12 (2022.01) [G06F 18/214 (2023.01); G06F 18/285 (2023.01); G06N 3/045 (2023.01); G06V 30/18 (2022.01)] | 20 Claims |
1. A computer-implemented text correction method comprising:
with a processor, providing one of base data and end user data to pretrain a base deep learning model or an end user deep learning model, respectively, as a pretrained base deep learning model or a pretrained end user deep learning model;
providing a processor-based data mode classifier to select one of the pretrained base deep learning model or a pretrained end user deep learning model;
responsive to an input dataset, selecting one of the pretrained base deep learning model or the processor-based data mode classifier;
responsive to an output of the data mode classifier, performing training on one of the base deep learning model or the end user deep learning model;
responsive to a size of the dataset, performing retraining on one of the base deep learning model or the end user deep learning model;
responsive to the training of one of the base deep learning model or the end user deep learning model, providing outputs signifying a confidence level of the training; and
responsive to the confidence level of the training, providing output text to an end user.
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