Error correction processing method and device, storage medium and processor

A processing method and error information technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as poor error checking effect, achieve poor error checking effect, enhance error correction effect, correct wrong result accurate effect
CN110457688APending Publication Date: 2019-11-15GUANGZHOU SHIYUAN ELECTRONICS CO LTD

Patent Information

Authority / Receiving Office
CN ยท China
Current Assignee / Owner
GUANGZHOU SHIYUAN ELECTRONICS CO LTD
Publication Date
2019-11-15

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Abstract

The invention discloses an error correction processing method and device, a storage medium and a processor. The error correction processing method comprises the steps: obtaining suspected error information in a to-be-detected text; obtaining at least one piece of candidate correction information of the suspected error information; correcting the to-be-detected text by using the at least one pieceof candidate correction information to obtain at least one target candidate text; determining the confusion degree of the at least one target candidate text; and determining a target correction text from the at least one target candidate text according to the confusion degree. According to the error correction processing method, the context information of the text is considered during text error correction, so that the error correction effect is enhanced, and the error correction result is more accurate, and the technical problem of poor error correction effect in related technologies is solved.
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Description

technical field

[0001] The present application relates to the field of Chinese spelling, in particular, to an error correction processing method and device, a storage medium and a processor. Background technique

[0002] In related technologies, in the process of checking Chinese spelling, the method based on statistics is mainly used, and the method mainly uses the query error correction technology based on the N-gram language model (N-Gram). The advantage of N-Gram is that The requirements for the same distribution of the training set and the test set are relatively low, the interpretation is strong, and the principle is clear, but the requirement for the number of corpus is very high, and the context of the words in the sentence cannot be fully utilized, and long-distance dependencies cannot be captured. Therefore, the above two kinds of error detection and error correction effects are not good.

[0003] For the above problems, no effective solution has been proposed yet...

Claims

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