Document correcting marking method

Abstract

The invention relates to a document correcting marking method, and belongs to the technical field of information processing. A document to be corrected is divided into the form of a granule set through a separator, through a specific word splitting algorithm, all set elements are subjected to word splitting, afterwards, according to an English word database, whether an English word is wrongly spelled or not is searched for, mistakes are recorded, then the word length of all word sets is calculated, if multiple independent words exist continuously, that is, the words of which the length is 1 continuously exist, the words are recorded into an wrong word set, and finally, the mistakes for the document to be corrected are marked through data in the wrong word set to generate a corrected document and importing the corrected document. Compared with the prior art, the phenomena in the prior art that the supporting performance of other languages except English is poor, particularly correctingmarks aiming at a Chinese document are imperfect, and the supporting performance is poor are avoided, and people stride to improve the supporting performance when currently, a computer is relied on tomark the mistakes for the Chinese document.

Description

technical field [0001] The invention relates to a document error correction marking method, which belongs to the technical field of information processing. Background technique [0002] Document error correction mark is a very important and commonly used technology in information processing technology. Usually, the WORD or WPS we use has a document error correction mark function, which is mainly used to remind document editors that there may be word spelling errors somewhere in the document. Or word logic errors, etc. [0003] At present, the traditional document error correction marking method is mainly used to mark wrong English words, and the support for non-English languages ​​such as Chinese is not good, because English does not involve word segmentation, and the independence between words is strong, while Unlike English, Chinese only needs to separate words based on spaces, and it can be judged whether the word is correct by looking up the English word database. Chin...

AI Technical Summary

Problems solved by technology

[0003] At present, the traditional document error correction marking method is mainly used to mark wrong English words, and the support for non-English languages ​​such as Chinese is not good, because English does not involve word segmentation, and the independence between words is strong, while Unlike English, Chinese only needs to separate words based on spaces, and it can be judged whether the word is correct by looking up the English word database.

Chinese involves word segmentation, whether it is from a statistical or grammatical point of view, there is no certain rule between words, which makes it difficult to implement error correction marks for Chinese documents

Images