Training method for character generation model, character generation method, apparatus, and medium

A character generation method, comprising:

• acquiring a source domain input word and a target domain input word corresponding to the source domain input word;
• and
• inputting the source domain input word and the target domain input word into a character generation model to obtain a target domain new word;
• wherein the character generation model is obtained by training according to the following steps:
• inputting a source domain sample word and a target domain style word into the character generation model to obtain a target domain generation word;
• inputting the target domain generation word and a target domain sample word into a pre-trained character classification model to calculate a feature loss of the character generation model;
• and
• adjusting a parameter of the character generation model according to the feature loss.

A training apparatus for a character generation model, comprising:

• at least one processor;
• and a memory communicatively connected to the at least one processor;
• wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to cause the at least one processor to perform steps in the following modules:
• a target domain generation word acquisition module, which is configured to input a source domain sample word and a target domain style word into the character generation model to obtain a target domain generation word;
• a feature loss calculation module, which is configured to input the target domain generation word and a target domain sample word into a pre-trained character classification model, and calculate a feature loss of the character generation model;
• and
• a first loss adjustment module, which is configured to adjust a parameter of the character generation model according to the feature loss.