公开(公告)号：US12236203B2

公开(公告)日：2025-02-25

申请号：US17951216

申请日：2022-09-23

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Ruiqing Zhang ,  Xiyang Wang ,  Hui Liu ,  Zhongjun He ,  Zhi Li ,  Hua Wu

IPC: G06F40/51 ,  G06F40/42

Abstract: A translation method, a model training method, apparatuses, electronic devices and storage mediums, which relate to the field of artificial intelligence technologies, such as machine learning technologies, information processing technologies, are disclosed. In an implementation, a weight for each translation model in at least two pre-trained translation models translating a to-be-translated specified sentence is acquired based on the specified sentence and a pre-trained weighting model; and the specified sentence is translating using the at least two translation models based on the weight for each translation model translating the specified sentence.

公开(公告)号：US12197882B2

公开(公告)日：2025-01-14

申请号：US17885152

申请日：2022-08-10

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Ruiqing Zhang ,  Xiyang Wang ,  Zhongjun He ,  Zhi Li ,  Hua Wu

IPC: G06F40/58

Abstract: A translation method, an electronic device and a storage medium, which relate to the field of artificial intelligence technologies, such as machine learning technologies, information processing technologies, are disclosed. An implementation includes: acquiring an intermediate translation result generated by each of multiple pre-trained translation models for a to-be-translated specified sentence in a same iteration of a translation process, so as to obtain multiple intermediate translation results; acquiring a co-occurrence word based on the multiple intermediate translation results; and acquiring a target translation result of the specified sentence based on the co-occurrence word.