Intelligent text error correction method and device, electronic equipment and readable storage medium

Abstract

The invention relates to an artificial intelligence technology, can be applied to the field of smart cities, and discloses an intelligent text error correction method. The method comprises the steps of performing unsupervised training on an original text error correction model by utilizing an unmarked text set to obtain a primary text error correction model, supervising and training the primary text error correction model by utilizing a marked text set to obtain a standard text error correction model, executing text shielding operation on the error correction text to obtain a shielded text; and inputting the shielded text into the standard text error correction model to obtain a prediction text and a prediction probability value of the prediction text, and performing text error correctionon the to-be-corrected text according to the prediction text when the prediction text is different from the to-be-corrected text and the prediction probability value is greater than the preset probability value. The invention further provides an intelligent text error correction device, electronic equipment and a computer readable storage medium. According to the method, the text error correctioneffect can be improved on the premise of not excessively consuming manpower and computer resources. In addition, the invention also relates to a blockchain technology, and the text and the text set can be stored in the blockchain.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an intelligent text error correction method, device, electronic equipment and readable storage medium. Background technique [0002] Text error correction has broad application prospects, such as intelligent error correction and prompts for cumbersome text in the medical field, speeding up the work efficiency of prescription printers, error correction of spelled text during office chats, and prevention of low-level errors, etc. [0003] There are two main types of existing text error correction technologies, one is the traditional text error correction model obtained by using the distance calculation method; the other is the deep learning text error correction model obtained by using large-scale corpus training. Both methods can complete text error correction to a certain extent, but the deep learning text error correction model requires a large amount of corpus i...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides an intelligent text error correction method, device, electronic equipment and computer-readable storage medium, the main purpose of which is to solve the problem of improving the effect of text error correction without excessive consumption of labor and computer resources

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