Method and apparatus for customized deep learning-based text correction

A computer-implemented text correction apparatus comprising:

• a processor;
• and
• non-transitory memory containing instructions which, when performed by a processor, enable performance of a method comprising:
• 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 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.