公开(公告)号：US11574135B2

公开(公告)日：2023-02-07

申请号：US16861750

申请日：2020-04-29

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

Inventor： Haifeng Wang ,  Hua Wu ,  Zhongjun He ,  Hao Xiong

IPC: G06F40/58 ,  G06F40/51 ,  G06F40/49

Abstract: The present disclosure provides a method, apparatus, electronic device and readable storage medium for translation and relates to translation technologies. In the embodiments of the present disclosure, the at least one knowledge element is obtained according to associated information of content to be translated, and respective knowledge element in the at least one knowledge element comprise an element of the first language type and an element of the second language type so that the at least one knowledge element can be used to obtain a translation result of the content to be translated. Since the at least one knowledge element obtained in advance is taken as global information of the translation task of this time, it can be ensured that the translation result of the same content to be translated is consistent, thereby improving the quality of the translation result.

公开(公告)号：US11423222B2

公开(公告)日：2022-08-23

申请号：US17243097

申请日：2021-04-28

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

Inventor： Ruiqing Zhang ,  Chuanqiang Zhang ,  Zhongjun He ,  Zhi Li ,  Hua Wu

IPC: G06F40/232 ,  G06N20/00 ,  G06F40/279 ,  G06F40/166

Abstract: A method for text error correction includes: obtaining a text to be corrected; obtaining a pinyin sequence of the text to be corrected; and inputting the text to be corrected and the pinyin sequence to a text error correction model, to obtain a corrected text.

公开(公告)号：US11182648B2

公开(公告)日：2021-11-23

申请号：US16901940

申请日：2020-06-15

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

Inventor： Hao Xiong ,  Zhongjun He ,  Zhi Li ,  Hua Wu ,  Haifeng Wang

IPC: G06K9/62 ,  G06F40/117 ,  G06N20/00

Abstract: The present disclosure provides an end-to-end model training method and apparatus, which relates to a field of artificial intelligence technologies. The method includes: obtaining training data containing a plurality of training samples, in which the plurality of training samples include an original sequence, a target sequence and a corresponding tag list, the tag list includes importance tags in the target sequence and avoidance tags corresponding to the importance tags, and the avoidance tags are irrelevant tags corresponding to the importance tags; and adopting the training data to train a preset end-to-end model until a value of a preset optimization target function is smaller than a preset threshold.

公开(公告)号：US20210200963A1

公开(公告)日：2021-07-01

申请号：US17200588

申请日：2021-03-12

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

Inventor： Ruiqing Zhang ,  Chuanqiang Zhang ,  Jiqiang Liu ,  Zhongjun He ,  Zhi Li ,  Hua Wu

IPC: G06F40/47 ,  G06F40/58 ,  G06F40/45

Abstract: The present disclosure provides a machine translation model training method, apparatus, electronic device and storage medium, which relates to the technical field of natural language processing. A specific implementation solution is as follows: selecting, from parallel corpuses, a set of samples whose translation quality satisfies a preset requirement and which have universal-field features and/or target-field features, to constitute a first training sample set; selecting, from the parallel corpuses, a set of samples whose translation quality satisfies a preset requirement and which do not have universal-field features and target-field features, to constitute a second training sample set; training an encoder in the machine translation model in the target field, a discriminator configured in encoding layers of the encoder, and the encoder and a decoder in the machine translation model in the target field in turn with the first training sample set and second training sample set, respectively. The training method according to the present disclosure is time-saving and effort-saving, and may effectively improve the training efficiency of the machine translation model in the target field.

公开(公告)号：US20210192151A1

公开(公告)日：2021-06-24

申请号：US16861750

申请日：2020-04-29

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

Inventor： Haifeng WANG ,  Hua Wu ,  Zhongjun He ,  Hao Xiong

IPC: G06F40/58 ,  G06F40/49 ,  G06F40/51

Abstract: The present disclosure provides a method, apparatus, electronic device and readable storage medium for translation and relates to translation technologies. In the embodiments of the present disclosure, the at least one knowledge element is obtained according to associated information of content to be translated, and respective knowledge element in the at least one knowledge element comprise an element of the first language type and an element of the second language type so that the at least one knowledge element can be used to obtain a translation result of the content to be translated. Since the at least one knowledge element obtained in advance is taken as global information of the translation task of this time, it can be ensured that the translation result of the same content to be translated is consistent, thereby improving the quality of the translation result.