Text recognition method and apparatus, and storage medium

A text recognition apparatus, comprising one or more processors and one or more memories, wherein the one or more processors are configured to:

• obtain sample text data, the sample text data comprising a plurality of sample phrases;
• generate a recognition model based on the sample phrases by performing training on a plurality of training nodes, comprising:
• respectively obtaining, by each of the plurality of training nodes, recognition coefficients of the sample phrases distributed to the corresponding training node;
• and
• determining, by the plurality of training nodes, model parameters of the recognition model according to the recognition coefficients of the sample phrases;
• obtain to-be-recognized text data;
• input the text data to the recognition model;
• and
• obtain recognized target text data output by the recognition model and corresponding to the text data.

A non-transitory storage medium storing computer programs that, when being executed by one or more processors, cause the one or more processors to perform:

• obtaining sample text data, the sample text data comprising a plurality of sample phrases;
• generating a recognition model based on the sample phrases by performing training on a plurality of training nodes, comprising:
• respectively obtaining, by each of the plurality of training nodes, recognition coefficients of the sample phrases distributed to the corresponding training node;
• and
• determining, by the plurality of training nodes, model parameters of the recognition model according to the recognition coefficients of the sample phrases;
• obtaining, by a server, to-be-recognized text data;
• inputting, by the server, the text data to the recognition model;
• and
• obtaining recognized target text data output by the recognition model and corresponding to the text data.