-
公开(公告)号:US20240160862A1
公开(公告)日:2024-05-16
申请号:US18369584
申请日:2023-09-18
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Joonghoon KIM , Sangha Kim , Jiwan Kim , Sangil Park , Sohyun Park , Taehwan Yoo
IPC: G06F40/58 , G06F40/253
CPC classification number: G06F40/58 , G06F40/253
Abstract: An electronic apparatus includes a memory configured to store instructions, and a processor configured to execute the instructions to receive a text of a first language, generate, based on the text of the first language, style information indicating a translation style to be applied to the text of the first language and machine-translate the text of the first language into text of a second language based on the generated style information.
-
公开(公告)号:US12248760B2
公开(公告)日:2025-03-11
申请号:US17747399
申请日:2022-05-18
Applicant: Samsung Electronics Co., Ltd.
Inventor: Jiwan Kim , Insoo Chung , Jonghyun Kim , Soyoon Park , Indong Lee , Sungjun Lim
IPC: G06F40/58 , G06F40/51 , G06V30/146 , G06V30/148
Abstract: An electronic device and a method of controlling an electronic device are provided. The method includes obtaining an image comprising a text through a camera, identifying an input text, among texts included in the image, to be translated, obtaining a first vector corresponding to the input text by inputting the identified input text to an encoder of a translation model, identifying whether additional information is necessary to translate the input text by inputting the first vector to a first artificial intelligence model trained to translate the input text, based on identification that the additional information is necessary, identifying additional information among the at least one context information by inputting the first vector and at least one context information obtained from the image, and obtaining an output text corresponding to the input text by inputting the first vector and the identified additional information to a decoder of the translation model.
-
公开(公告)号:US11868739B2
公开(公告)日:2024-01-09
申请号:US17270655
申请日:2019-09-19
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jiwan Kim
Abstract: The disclosure relates to an artificial intelligence (AI) system that simulates functions such as cognition and judgment of the human brain by utilizing machine learning algorithms such as deep learning and its applications.
A method in which a device provides translation information of an application includes obtaining a resource file of an application through an operating system (OS) of the device; translating text to be displayed on an execution screen of the application from the obtained resource file by using an artificial intelligence model; generating the execution screen of the application by using the resource file and the translated text; and displaying the generated execution screen, wherein the translating includes translating the text of a first language into a second language by applying at least a part of data in the resource file to the artificial intelligence model trained to translate the text to be displayed on the execution screen of the application.-
公开(公告)号:US11501089B2
公开(公告)日:2022-11-15
申请号:US16838447
申请日:2020-04-02
Applicant: Samsung Electronics Co., Ltd.
Inventor: Jiwan Kim , Seungsoo Kang , Jongyoub Ryu , Soyoon Park , Sangha Kim , Hakjung Kim , Myungjin Eom
IPC: G10L15/00 , G06F40/44 , G10L15/22 , G06F40/58 , G06F3/16 , G10L15/06 , G06F16/332 , G06F40/40 , G10L15/18 , G06F40/279 , G06F40/30 , G06F40/47 , G06F40/51
Abstract: An electronic device and a method for controlling the electronic device thereof are provided. The electronic device includes a memory storing instructions, and a processor configured to control the electronic device by executing the instructions stored in the memory, and the processor is configured to, based on a user's speech being input, acquire a first sentence in a first language corresponding to the user's speech through a speech recognition model corresponding to a language of the user's speech, acquire a second sentence in a second language corresponding to the first sentence in the first language through a machine translation model trained to translate a plurality of languages into the predefined second language, and acquire a control instruction of the electronic device corresponding to the acquired second sentence or acquire a response to the second sentence through a natural language understanding model trained based on the second language.
-
-
-