The text
correction method, device,
computer equipment and readable storage medium provided by the application comprise: obtaining a character sequence corresponding to a text to be corrected, a confidence degree of each character in the character sequence and an
image sequence composed of images of each character; obtaining
semantic information features corresponding to the text to be corrected according to the character sequence and image information features according to the
image sequence through a correction model; the correction model further comprises a first full connection layer, a
transformer layer and a second full connection layer connected in sequence; predicting a candidate word set at each character position after fusing the
semantic information features and the image information features; correcting a target character with a confidence degree less than a preset
confidence threshold in the character sequence based on the candidate word set at the character position of the target character. The application fully considers
semantic information and character shape information, determines candidate words according to fused feature information, more fully utilizes information and can help improve correction accuracy.