Text error correction method and system in power grid field scheduling scene

Abstract

The invention discloses a text error correction method and system in a power grid field scheduling scene, and the method comprises the steps: carrying out the word segmentation and named entity recognition of sentences in a text, and obtaining a word segmentation set and a named entity set; performing entity linking on the named entity set and a knowledge base to determine real information of entities; performing word boundary correction on the word segmentation set by using the named entity identification set to update the word segmentation set; adding pinyin features to each word in the wordsegmentation set to generate a new word segmentation set; inputting the new word segmentation set into a probability model to obtain the probability of occurrence of each word, and determining suspicious wrongly written characters according to the probability; obtaining a candidate set of the word from a pinyin dictionary according to the pinyin of the suspicious wrongly written character; substituting the candidate words in the candidate set into sentences one by one, regenerating features, substituting the features into the probability model, and determining the optimal candidate accordingto the probability. Suspicious wrongly written characters are positioned in combination with the probability model, so that the text error correction efficiency can be improved.

Description

technical field [0001] The invention belongs to the technical field of power grid dispatching, and in particular relates to a text error correction method in the dispatching scene of the power grid field, and also relates to a text error correction system in the dispatching scene of the power grid field. Background technique [0002] In dispatching scenarios, a large amount of work needs to be communicated, inquired or given work orders through telephone and other voice methods. Now related work is facing the problem of intelligent recommendation, and one of the most important links is voice translation, while dispatching and its on-site staff , distributed in various parts of the country, the local dialects and the staff's own vocal cord pitch problems have brought great troubles to the voice translation work, and it is even difficult to overcome, and the language used in the field in the dispatching scene is relatively complicated, but the requirements for accuracy are very...

AI Technical Summary

Problems solved by technology

[0005] Currently on the market, Baidu, Tencent, and JD.com have related text error correction products, but because the power grid field is particularly special, it is difficult to achieve its effect without targeted adjustments. For example, there are some open source products, such as Chinese word automatic error correction Cn_Speck_Checker and Autochecker&autocorrecter for Chinese, etc. At present, the performance of related algorithms in various self-test data sets is still average, and it is even more difficult to use them in the field of scheduling.

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