The invention provides a Chinese name recognition method based on a
recurrent neural network. The method includes the steps of S1, corpus pretreatment; S2, word vector training, wherein a word2vec tool is used for word vector training; S3, Chinese name recognition model training, wherein data obtained after
processing in S1 and word vectors obtained after training in S2 are used for training a neural
network model; S4, name recognition and aftertreatment, wherein the model obtained after modeling in S3 carries out name recognition on test corpuses, names recognized by the model are subjected to aftertreatment through a context rule and a
diffusion algorithm, and finally names are obtained. By means of the method, the complexity of
feature selection during Chinese name recognition can be effectively lowered, rich
syntax and grammar information included in Chinese texts is fully utilized through the word vectors, the generalization ability of the model is improve accordingly, Japanese names and foreign
transliteration names are recognized at the same time, and the extent of Chinese name recognition is widened.