Official document error correction method

Abstract

The invention discloses an official document error correction method, which comprises the following steps of: a text detection step: carrying out text recognition model training by utilizing machine learning, and classifying document texts into notification, report, approval, notification, letter, conference summary and ask-for-leave types; an error detection step: making word segmentation througha Chinese word segmentation device, detecting errors from the aspects of word granularity and word granularity, integrating suspected error results of the two types of granularity detection, to forma suspected error position candidate set; using a bidirectional character-level N-gram LM deep learning model for scoring characters in sentences, regarding the position with the low score as a position to be corrected, conducting dictionary word checking on the position to be corrected and context combinations, and when all the combinations cannot be found in a dictionary, regarding the combinations as wrong characters and added into a wrong position candidate set. According to the scheme, auditing requirements such as row text specifications, incomplete contents, unknown questions, grammar error correction, smoothness detection, context association and the like are combined, the characteristics are used for innovating, reconstructing and combining the existing technical scheme, and the error correction effect of the enterprise electronic official document can be effectively improved through tests.

Description

technical field [0001] The invention relates to the field of text analysis, in particular to a method for assisting error correction of official documents. Background technique [0002] With the continuous advancement of information construction and the rapid development of paperless office, business departments at all levels have produced a large number of electronic documents. Electronic documents are used as information resources for enterprise production and operation. Document quality control and management are directly related to corporate image and office efficiency. The guarantee of the quality of special corporate documents is a very challenging and professional job. Therefore, providing real-time and ubiquitous guidance, error correction and auxiliary functions to ensure that drafters get all-round help in the drafting process can effectively strengthen the quality management of official document content from the source. [0003] Although the quality problems of c...

AI Technical Summary

Problems solved by technology

[0005] Therefore, it is necessary to provide a method for error correction of official documents to solve the problem that the error correction of specific types of documents is not comprehensive enough

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