Long text error correction method and device based on artificial intelligence, and computer readable medium

Abstract

The invention provides a long text error correction method and device based on artificial intelligence, and a computer readable medium. The method comprises the following steps that: when the originalfragment of a nondedicated noun is present in a long text, according to a preset PT (Phrase Table) in the field of the long text, carrying out PT segment recalling on the original segment which needsto be subjected to error correction to obtain the candidate segment set of the original segment, utilizing a pre-trained segment marking model to independently carry out marking on each candidate segment in the candidate segment set, wherein the candidate segment set comprises a plurality of candidate segments; and according to the score of each candidate segment, through a decoding way, obtaining a target segment corresponding to each original segment from the candidate segment set of each original segment, which needs to be subjected to the error correction, of the long text, and therefore,obtaining the error correction text of the long text. Through the technical scheme of the invention, deficiencies in the prior art are made up, a long text error correction scheme is provided, wrongsegments in the long text can be corrected, and the editing quality of the long text is effectively improved.

Description

【Technical field】 [0001] The invention relates to the technical field of computer applications, in particular to an artificial intelligence-based long text error correction method, device and computer-readable medium. 【Background technique】 [0002] Artificial Intelligence (AI) is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems, etc. [0003] In the prior art, since the user can input long text information through a computer, for example, the user can edit long text information such as news articles, advertising strategy fil...

AI Technical Summary

Problems solved by technology

[0004] However, in the error correction of the existing query search, it needs to rely on the user's click. At the same time, the length of the query is short, while the length of the text in the long text is long, and there is no user's click feedback on the result. Therefore, the existing The error correction of query search is not suitable for long text scenarios, and it is urgent to provide a technical solution for long text error correction

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