公开(公告)号：US20230267286A1

公开(公告)日：2023-08-24

申请号：US17879965

申请日：2022-08-03

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

Inventor： Liwen Zhang ,  Meng Sun ,  Zhongjun He ,  Zhi Li

IPC: G06F40/58 ,  G06F40/211

CPC classification number: G06F40/58 ,  G06F40/211

Abstract: Provided are a translation model training method, a translation method, a device, and a storage medium, and relates to a field of computer technology, and in particular, to artificial intelligence fields such as natural language processing, machine translation and the like. The translation model training method includes: processing a sample document, to obtain an RST discourse structure tree in a dependency form of the sample document, a side in the RST discourse structure tree in the dependency form indicating an RST relationship in a discourse of the sample document; determining an attention mechanism of a translation model to be trained, based on the RST relationship in the RST discourse structure tree in the dependency form; and inputting the RST discourse structure tree in the dependency form and the sample document into the translation model to be trained for training, to obtain a trained translation model.