ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE

    公开(公告)号:US20230359836A1

    公开(公告)日:2023-11-09

    申请号:US18219339

    申请日:2023-07-07

    CPC classification number: G06F40/40

    Abstract: An electronic device which obtains a first translated text in which a first phrase in an original text sequence of a first language is translated in a second language by inputting the first phrase to a translation model, determines an extent of delay in translation of the first phrase by comparing a time-point of the first phrase with a time-point of the first translated text, identifies one phrase from among the first phrase and a second phrase following the first phrase based on the extent of delay, obtains a summary text of the identified phrase by inputting the identified phrase to a summary model, obtains a second translated text in which identified phrase or the summary text is translated in the second language by inputting the identified phrase or the summary text to the translation model, and outputs the second translated text after the first translated text is output.

    SERVER FOR REFINING MODEL IN TERMINAL AND OPERATION METHOD THEREOF

    公开(公告)号:US20220343156A1

    公开(公告)日:2022-10-27

    申请号:US17432631

    申请日:2021-08-18

    Abstract: A method performed by a server is provided. The method includes, in response to input information being processed by the first model in the terminal, receiving, from the terminal, intermediate data output from a first layer included in a shared portion of the first model, obtaining the first model and a second model, which are pretrained by including the shared portion, obtaining correct answer data for the input information by inputting the intermediate data as an output of the first layer to the first layer included in the shared portion of the second model, in response to the intermediate data being input as the output of the first layer to the first layer included in the shared portion of the first model, refining the first model so that the correct answer data may be output from the first model, and transmitting information about the refined first model to the terminal.

    ELECTRONIC DEVICE AND METHOD FOR CONTROLLING SAME

    公开(公告)号:US20220129645A1

    公开(公告)日:2022-04-28

    申请号:US17435554

    申请日:2021-01-07

    Abstract: An electronic device is provided. The electronic device includes an inputter configured to obtain an input sentence in a first language, a memory, and a processor, and the processor is configured to obtain a feature vector corresponding to the input sentence by inputting the input sentence to an encoder model, obtain a first latent vector by inputting the feature vector and a specific integer to an intermediate network, obtain information on a first output sentence in a second language different from the first language by inputting the first latent vector to a decoder model, obtain a second latent vector by inputting the feature vector and the information on the first output sentence to the intermediate network, and obtain information on a second output sentence in the second language by inputting the second latent vector to the decoder model.

    ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF

    公开(公告)号:US20230177398A1

    公开(公告)日:2023-06-08

    申请号:US18162218

    申请日:2023-01-31

    CPC classification number: G06N20/00 G06N5/04

    Abstract: An electronic apparatus and a control method thereof are provided. The control method of the electronic apparatus includes receiving, from a first external electronic apparatus and a second external electronic apparatus, a first artificial intelligence model and a second artificial intelligence model used by the first and second external electronic apparatuses, respectively, and a plurality of learning data stored in the first and second external electronic apparatuses, identifying first learning data, which corresponds to second learning data received from the second external electronic apparatus, among learning data received from the first external electronic apparatus, training the second artificial intelligence model used by the second external electronic apparatus based on the first learning data, and transmitting the trained second artificial intelligence model to the second external electronic apparatus.

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