Method of training natural language processing model method of natural language processing, and electronic device

Abstract

The present disclosure relates to a method of training a natural language processing model, a method of natural language processing, and an electronic device. The method of training a natural language processing model includes: acquiring corpus data for training; processing the corpus data by using a natural language processing model to obtain output information, wherein the natural language processing model includes a first model for correcting pinyin data of the corpus data and a second model for performing text transformation on the corrected pinyin data of the corpus data; and training the natural language processing model according to the output information of the natural language processing model to obtain the trained natural language processing model.

Dependencies are inferred from the claim text.