2results about How to "Improve error correction accuracy" patented technology

The application discloses a kind of based on knowledge graph's name and post error correction method, system, equipment and medium, it is related to text correction technical field, wherein, based on knowledge graph's name and post error correction method includes: step S1, obtains to be corrected text, the to be corrected text includes name and post name;Step S2, according to the knowledge graph that is constructed in advance, by multi-mode matching algorithm, to the to be corrected text is carried out error text correction, obtains target text;The knowledge graph is used to indicate the association between each entity, and the entity includes name and post name, and the error text correction includes at least one of homonym word correction, shape near word correction, multi-word correction and few words correction.The application improves the error correction efficiency and accuracy of name and post name in text by combining knowledge graph and multi-mode matching algorithm.

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.