Patent ID: 11928439
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. The method according to claim 10, further comprising:
obtaining a first indicator expected value according to the future translation vector corresponding to the first instance and the future translation vector corresponding to the second instance, wherein the first indicator expected value represents a consistency situation of semantics between a future translation vector change and the target information of the first instance;
obtaining a second indicator expected value according to the past translation vector corresponding to the second instance and a past translation vector corresponding to the first instance, wherein the second indicator expected value represents a consistency situation of semantics between a past translation vector change and the target information of the first instance; and
determining a training target according to the first indicator expected value and the second indicator expected value, wherein the training target is used for building a preset neural network model.