The invention provides a Chinese text automatic error
correction method and device, and the method comprises the steps: carrying out the shallow error correction of a to-be-corrected text, and obtaining a first
sentence sequence; performing deep neural
network model correction on the first
sentence sequence to obtain a fifth
sentence sequence; post-
processing the fifth sentence sequence to obtain a corrected sample; and outputting the correction sample and the error information. The device provided by the invention comprises a shallow error correction module, a deep neural
network model correction module, a post-
processing module and an integrated output module, the deep neural
network model correction module is composed of an equal-length sequence error correction unit, a word redundancy error correction unit, a word missing error correction unit, a
language model judgment unit and a three-model fusion unit, and the post-
processing module is composed of a place name error detection unit and a sensitive word error detection unit. According to the method, automatic
data set generation and deep neural network
model correction can be realized, the Chinese error correction range is more comprehensive, and the error correction efficiency is higher.