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Error correction method, device and equipment and storage medium

An error correction method and a technology for error correction data, applied in the field of artificial intelligence, can solve problems such as low error correction accuracy

Pending Publication Date: 2020-07-28
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
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Problems solved by technology

[0004] The main purpose of the present invention is to provide an error correction method, device, equipment and storage medium, aiming to solve the problem of low accuracy of error correction due to too many vocabulary screened in the existing error correction methods question

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  • Error correction method, device and equipment and storage medium
  • Error correction method, device and equipment and storage medium

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Embodiment Construction

[0032] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0033] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the specification of the present application refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof.

[0034] An embodiment of the present invention pr...

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Abstract

The invention relates to the technical field of artificial intelligence, and discloses an error correction method. The method comprises the following steps: detecting that a to-be-corrected object exists in a text; extracting context contents of the to-be-corrected objects based on the positions of the to-be-corrected objects, inputting the corresponding similar objects into the error correction model according to the context contents and the similar objects to obtain corresponding alternative probabilities of the to-be-corrected objects, and selecting one corresponding object from the alternative probabilities as a replacement object to perform replacement processing on the to-be-corrected objects based on the alternative probabilities. The invention further provides an error correction device and equipment and a storage medium. Information of a to-be-corrected object is predicted based on the to-be-corrected object and context content at the same time; the confusion degree of a language model during semantic recognition can be reduced, so that relatively accurate similar objects are extracted, then the alternative probability of each similar object is calculated based on an errorcorrection model in combination with context content, and a relatively large object is selected from the alternative probability, so that the probability of each character or word is improved, and the final error correction accuracy is also improved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to an error correction method, device, equipment and storage medium. Background technique [0002] The open source NLP (Natural Language Processing, natural language processing) error correction of prior art, only relies on text word order to carry out error correction, specifically realizes by language model, and language model is divided into statistical language model and neural network language model; Statistical language The model is limited by the size of the context window. In actual use, the window size rarely exceeds 4. In the case of text restrictions, the detection and screening of input words or words is greatly reduced. [0003] At present, the neural network language model is widely used in academia and industry, but the traditional neural network language model basically uses the above strings to predict the current word or word, and cannot bri...

Claims

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Application Information

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IPC IPC(8): G06F40/232G06F40/253G06F40/289G06F40/30G06F40/169
Inventor 曾增烽刘东煜
Owner PING AN TECH (SHENZHEN) CO LTD
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