Text error correction processing method and device, electronic equipment and storage medium

Abstract

The invention discloses a text error correction processing method and device, electronic equipment and a storage medium, and relates to the field of artificial intelligence such as deep learning and natural language processing. According to the specific implementation scheme, the method comprises the steps of obtaining an original text, and preprocessing the original text to obtain a training text; extracting a plurality of feature vectors corresponding to each character in the training text, and processing the plurality of feature vectors to obtain an input vector; and inputting the input vector into a text error correction model to obtain a target text, and adjusting parameters of the text error correction model according to the difference between the target text and the original text. Therefore, the original text is preprocessed to generate the training text to train the text error correction model, so that the text error correction model can correctly process different error typeswhile the generation efficiency of the training text is improved.

Description

technical field [0001] The present disclosure relates to the field of computer technology, in particular, to the field of artificial intelligence such as deep learning and natural language processing, and in particular to a text error correction processing method, device, electronic equipment and storage medium. Background technique [0002] At present, the goal of spelling error correction is to correct spelling errors in natural language, which has a wide range of applications for many potential natural language processing applications, such as search optimization, machine translation, part-of-speech tagging, etc. [0003] In related technologies, the Chinese spelling error correction method is generally carried out in the form of an assembly line. First, error recognition is performed, then candidate generation, and finally candidate selection. The training corpus in this way needs to be manually labeled, and the number is often small, and only one-to-one correspondence ca...

AI Technical Summary

Problems solved by technology

[0003] In related technologies, the Chinese spelling error correction method is generally carried out in the form of an assembly line. First, error recognition is performed, then candidate generation, and finally candidate selection. The training corpus in this way needs to be manually labeled, and the number is often small, and only one-to-one correspondence can be processed. Types of errors, such as word reversal, word completion, etc. cannot be identified, so the efficiency and effect of error correction are relatively poor

Images