Domain-specific text error correction method, storage medium and device
The invention discloses an error correction method for a specific field text, a storage medium and a device. The method comprises the following steps: constructing a data set for specific field training; performing first-stage training on the text generation model by using the general field data set...
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Main Authors | , , , , , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
03.02.2023
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses an error correction method for a specific field text, a storage medium and a device. The method comprises the following steps: constructing a data set for specific field training; performing first-stage training on the text generation model by using the general field data set; transforming the text generation model by adding a part-of-speech supervision signal, and then performing second-stage training on the transformed text generation model by using a data set for training in a specific field; and performing sentence-level error correction on the trained text generation model, and decoding to generate a corrected text. Labels do not need to be manually labeled, and the labels can be automatically generated according to existing data; common grammar characteristics and prior knowledge in the general field can be inherited; adaptability correction can be carried out for a specific field, especially a power field, and specific nouns and common terms in the specific field can be identifi |
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Bibliography: | Application Number: CN202211342299 |