Text error correction method, device and equipment and readable storage medium

Abstract

The invention relates to the technical field of artificial intelligence, and discloses a text error correction method, device and equipment and a readable storage medium. The method comprises the following steps: inputting the text to be subjected to error correction into a preset text error correction model to generate an error correction editing operation sequence, wherein the preset text error correction model is obtained by training a preset annotation editing operation sequence, and the preset annotation editing operation sequence is used for converting a preset error text into a correct text corresponding to the preset error text; and performing error correction on the to-be-corrected text based on the error correction editing operation sequence to obtain an error-corrected text. According to the method and the device, the problem of time sequence dependence caused by crossed encoding of the encoder and decoding of the decoder is avoided, namely, the problem of text error correction is converted into the problem of sequence generation, so that the processes of generating the error correction editing operation sequence and converting the error text into the correct text can be parallel; and the error correction speed of the text error correction process is increased.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a text error correction method, device, equipment and a readable storage medium. Background technique [0002] In the process of document writing or article editing, many words, typos and omissions often occur. Submitting an official document without typos often requires manual and time-consuming proofreading, which reduces office efficiency to a certain extent. In order to solve this problem, The automation and intelligence of text error correction is very necessary. [0003] At present, the modeling method of text error correction mainly relies on the sequence-to-sequence encoder-decoder framework based on the attention mechanism. After encoding, use the decoder to decode the correct sentences after error correction one by one. However, the decoding of each step of the sequence-to-sequence model depends on the output of the decoder in the previous step...

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide a text error correction method, device, equipment and readable storage medium, aiming to solve the existing technical problem of slow error correction speed in the text error correction process when performing text error correction tasks

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