公开(公告)号：US20250021756A1

公开(公告)日：2025-01-16

申请号：US18572200

申请日：2022-04-27

Applicant: Shanghai Midu Science and Technology Co., LTD.

Inventor： Gen LI ,  Yidong LIU ,  Jun WANG

IPC: G06F40/232 ,  G06F40/53

Abstract: The disclosure provides a Chinese spelling correction method, including: obtaining a text sequence, a pinyin sequence and a picture sequence of a Chinese input text file; based on the text sequence, the pinyin sequence and the picture sequence respectively extracting word meaning features, phonetic features and glyph features of the Chinese input text file; integrating the word meaning features, phonetic features and glyph features; based on the integrated word meaning features, phonetic features and glyph features, performing a correctness prediction, a pinyin prediction and a character prediction on the Chinese input text file to obtain the corrected Chinese output text file; performing rationality judgment on the Chinese output text file to obtain the final Chinese text file. The method is based on multi-modal neural networks and language models to realize the recognition and correction of word meanings, phonetics and glyphs in Chinese spelling, thus effectively improving accuracy and practicality.