Text processing method and related device

Abstract

The embodiment of the invention discloses a text processing method and a related device, at least relates to natural language processing and machine learning in artificial intelligence, data parallelcomputing in a cloud computing technology and the like. Text processing is carried out on a to-be-recognized first text, at least one content of the first text is modified. the first text is modifiedinto the second text, wherein any content modification corresponds to one modification pair. In order to determine the language expression error type and the error reason corresponding to the contentmodification, the first text and the second text are introduced to perfect the complete context information of the content modification before and after the modification according to the information provided by the modification pair, so that on the basis of the modification pair, by combining the first text and the second text, complete information bases are provided for determining language expression error types of modification pairs and error causes of the language expression error types, and accurate recognition of the text expression error types and specific error causes are achieved.

Description

technical field [0001] The present application relates to the field of data processing, and in particular, to a text processing method and related apparatus. Background technique [0002] Language is a way of human communication and communication. Language has corresponding grammar and vocabulary. It is a phonetic semantic system composed of vocabulary according to a certain grammar. Generally speaking, each ethnic group has its own language, such as Chinese, English, German, etc. [0003] Users can express written text through language. However, whether they use their native language or a newly learned language, there may be language errors, such as improper grammar usage and irregular expressions. The text provided by the user can be wrongly identified through the language error identification technology. For example, in the education industry, the language error identification technology can be used to help teachers correct students' English compositions. [0004] In th...

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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