A text processing method and related device

Abstract

The embodiment of the present application discloses a text processing method and related devices, at least related to natural language processing and machine learning in artificial intelligence, and data parallel computing in cloud computing technology, etc., for the first text to be recognized, the second Text processing is performed on a text, and the first text is modified into a second text by modifying at least one content of the first text. Wherein, any content modification corresponds to a modification pair. In order to be able to determine the language expression error type and error cause corresponding to the content modification, not only based on the information provided by the modification pair, but also introduce the first text and the second text to complete the complete context information of the content modification before and after the modification. Therefore, in the modification On the basis of the correctness, by combining the first text and the second text, a relatively complete information basis is provided for determining the type of language expression error and the cause of the error in the revised pair, and the accurate identification of the type of text expression error and the specific error are realized. cause.

Description

technical field [0001] The present application relates to the field of data processing, in particular to a text processing method and related devices. Background technique [0002] Language is an expression way for human beings to communicate. Language has corresponding grammar and vocabulary. It is a phonetic meaning system composed of vocabulary according to a certain grammar. Generally speaking, each nation has its own language, such as Chinese, English, German, etc. [0003] Users can express written text through language. However, whether they use their own mother tongue or a newly learned language, language expression errors may occur, such as improper use of grammar and irregular expressions. The language error recognition technology can be used to identify errors in the text provided by the user. For example, in the education industry, the language error recognition technology can be used to help teachers correct students' English compositions. [0004] In related ...

AI Technical Summary

Problems solved by technology

[0004] In related technologies, a large amount of corpus is mainly used to learn language rules, so as to identify and modify errors in the text. Since this modification is based on statistics, not only the accuracy rate is not high, but also the cause of the error cannot be given

As a result, users can only know that the text expression is wrong, but it is difficult to understand the cause of the error

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