公开(公告)号：US20230153543A1

公开(公告)日：2023-05-18

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

CPC classification number: 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：US20230051373A1

公开(公告)日：2023-02-16

申请号：US17974317

申请日：2022-10-26

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

Inventor： Xiyang WANG ,  Ruiqing ZHANG ,  Zhongjun HE ,  Zhi LI ,  Hua WU

IPC: G06F40/47

Abstract: A method for training a non-autoregressive translation (NAT) model includes: acquiring a source language text, a target language text corresponding to the source language text and a target length of the target language text; generating a target language prediction text and a prediction length by inputting the source language text into the NAT model, in which initialization parameters of the NAT model are determined based on parameters of a pre-trained translation model; and obtaining a target NAT model by training the NAT model based on the target language text, the target language prediction text, the target length and the prediction length.

公开(公告)号：US20220391602A1

公开(公告)日：2022-12-08

申请号：US17820765

申请日：2022-08-18

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Haifeng WANG ,  Zhanyi LIU ,  Zhongjun HE ,  Hua WU ,  Zhi LI ,  Xing WAN ,  Jingxuan ZHAO ,  Ruiqing ZHANG ,  Chuanqiang ZHANG ,  Fengtao HUANG ,  Hanbing SONG ,  Wei DI ,  Shuangshuang CUI ,  Yongzheng XIN

IPC: G06F40/58 ,  G06V30/19

Abstract: A display method, an electronic device, and a storage medium, which relate to a field of natural language processing and a field of display. The display method includes: acquiring a content to be displayed; extracting a target term from the content using a term extraction rule; acquiring an annotation information for at least one target term, responsive to an extraction of the at least one target term; and displaying the annotation information for the at least one target term and the content.