公开(公告)号：US11551675B2

公开(公告)日：2023-01-10

申请号：US16899987

申请日：2020-06-12

Applicant: Samsung Electronics Co., Ltd.

Inventor： Sathish Reddy Indurthi ,  Hyojung Han ,  Beomseok Lee ,  Insoo Chung ,  Nikhil Kumar Lakumarapu

IPC: G10L15/183 ,  G10L15/26 ,  G10L15/16

Abstract: An electronic device is provided. The electronic device includes a memory configured to store a speech translation model and at least one processor electronically connected with the memory. The at least one processor is configured to train the speech translation model based on first information related to conversion between a speech in a first language and a text corresponding to the speech in the first language, and second information related to conversion between a text in the first language and a text in a second language corresponding to the text in the first language, and the speech translation model is trained to convert a speech in the first language into a text in the second language and output the text.

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.