Text error correction method based on artificial intelligence

Abstract

The invention belongs to the technical field of computers, and particularly relates to a text error correction method based on artificial intelligence. The method comprises the following steps of: fora given communication network, obtaining a general convolutional network code according to an information sink full rank; for any error model of the given set, calculating an information sink equivalent error; performing inversion to enable the error to be equivalent to an error of an information sink end, and obtaining an error correction code for correcting the error at the information sink end; inputting the text information subjected to preliminary error correction into an artificial intelligence error correction system; an artificial intelligence system in the text error correction method based on artificial intelligence comprises a check information calculation module, a decoding master control module, a training module, a knowledge base module, a comprehensive evaluation module andan identification and correction module. The method adopts a convolutional error correction network for coding, and has the excellent characteristics of high speed, high reliability, low time delay and the like.

Description

technical field [0001] The invention belongs to the field of computer application technology, in particular to an artificial intelligence-based text error correction method. Background technique [0002] Convolutional network coding is an important network coding, which has no limit on the size of the coding field and can adapt to arbitrary delay conditions. However, in the process of network transmission, errors in side information are inevitable. [0003] In addition, in order to make machines understand human natural language, people have formed two basic methods on the basis of long-term research: rule-based methods and statistical-based methods. Both methods are difficult to solve the problem independently. The natural language understanding methodology based on full information, starting from the "full information theory" point of view, takes advantage of both the rule method and the statistical method at the same time. The form of the state of motion and state chan...

AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to provide an artificial intelligence-based text error correction method, which aims to solve the problem that the prior art considers errors and easily leads to network convolution diffusion

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