US 12,118,983 B2
Electronic device and operation method thereof
Yeona Hong, Suwon-si (KR); Jungwook Park, Suwon-si (KR); Minseok Kwon, Suwon-si (KR); Jungin Lee, Suwon-si (KR); Seokyeong Jung, Suwon-si (KR); Gajin Song, Suwon-si (KR); and Jaeyung Yeo, Suwon-si (KR)
Assigned to Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed by SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed on Apr. 1, 2022, as Appl. No. 17/711,420.
Application 17/711,420 is a continuation of application No. PCT/KR2022/004321, filed on Mar. 28, 2022.
Claims priority of application No. 10-2021-0043522 (KR), filed on Apr. 2, 2021.
Prior Publication US 2022/0319497 A1, Oct. 6, 2022
Int. Cl. G10L 15/06 (2013.01); G06F 40/268 (2020.01); G10L 15/07 (2013.01); G10L 15/183 (2013.01)
CPC G10L 15/063 (2013.01) [G06F 40/268 (2020.01); G10L 15/07 (2013.01); G10L 15/183 (2013.01)] 12 Claims
OG exemplary drawing
 
1. An electronic device comprising:
a processor; and
a memory operatively connected to the processor,
wherein the memory stores instructions that, when executed, cause the processor to:
select at least one data received through a user input;
analyze text data included in the selected at least one data using morphological analysis;
identify a substantive portion contained in the text data using the morphological analysis;
embed the identified substantive portion contained in the text data;
extract additional data including at least one of a word and a phrase having a greatest similarity with the identified substantive portion;
learn an external language model using the selected at least one data;
learn a personal language model using the selected at least one data and the additional data;
adjust a first weight value for a learning result of the personal language model to be higher than a second weight value for a learning result of the external language model, based on the additional data being extracted; and
provide response data using the learning result of the personal language model based on the adjusted first weight value.