ELECTRONIC APPARATUS AND METHOD FOR CONTROLLING THEREOF

    公开(公告)号:US20230351126A1

    公开(公告)日:2023-11-02

    申请号:US18221190

    申请日:2023-07-12

    CPC classification number: G06F40/58

    Abstract: Provided is an electronic apparatus that includes a microphone; a communication interface; a memory storing information on a first encoder, a first decoder, a first interpretation model comprising a first version conversion module, and at least one first version which the first conversion module may convert; and a processor. The processor is configured to communicate with an external device and receive information about at least one second version corresponding to a second interpretation model in the external device; obtain information on a compatible version based the at least one first version and the least one second version; based on a user voice, obtain a first feature vector corresponding to the user voice using the first encoder, convert the first feature vector to a second feature vector corresponding to the compatible version, and transmit the second feature vector to the external device.

    ELECTRONIC DEVICE AND CONTROL METHOD THEREOF

    公开(公告)号:US20230197059A1

    公开(公告)日:2023-06-22

    申请号:US18105011

    申请日:2023-02-02

    CPC classification number: G10L13/086 G10L15/02 G10L15/26 G10L15/005

    Abstract: An electronic apparatus includes: a microphone; a communication interface including communication circuitry; a memory configured to store a first encoder corresponding to a first language and a first decoder corresponding to the first language; and a processor configured to: based on a user voice in the first language being received through the microphone, acquire text in the first language corresponding to the user voice, acquire a first feature vector by inputting the text in the first language to the first encoder, control the communication interface to transmit the first feature vector to an external device, and based on a second feature vector being received from the external device through the communication interface, acquire text in the first language corresponding to the second feature vector by inputting the second feature vector to the first decoder.

    ELECTRONIC DEVICE AND METHOD FOR CONTROLLING THE ELECTRONIC DEVICE THEREOF

    公开(公告)号:US20220318524A1

    公开(公告)日:2022-10-06

    申请号:US17747399

    申请日:2022-05-18

    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.

    ELECTRONIC APPARATUS AND METHOD FOR CONTROLLING ELECTRONIC APPARATUS

    公开(公告)号:US20220284018A1

    公开(公告)日:2022-09-08

    申请号:US17739453

    申请日:2022-05-09

    Abstract: A method for controlling an electronic apparatus includes: translating a first query text of a first language to acquire a second query text of a second language; transmitting the second query text to an external device; acquiring, from the external device, a first response text of the second language in response to the second query text; acquiring a second response text acquired by translating the first response text into the first language, and identifying whether the second response text semantically matches to the first query text by inputting the second response text and the first query text into a first neural network model configured to identify whether a query and a response semantically match; and acquiring a third query text of the second language by retranslating the first query text based on a result of identifying that the first query text and the second response text do not semantically match.

    ELECTRONIC APPARATUS AND METHOD FOR CONTROLLING THEREOF

    公开(公告)号:US20220269861A1

    公开(公告)日:2022-08-25

    申请号:US17739827

    申请日:2022-05-09

    Abstract: An electronic apparatus and a control method thereof are provided. The control method includes acquiring a plurality of words, acquire a plurality of word combinations by combining the plurality of words, and acquiring first scores indicating the sentence completeness of each of the plurality of word combinations by inputting each of the plurality of word combinations to a first a language model for identifying a sentence completeness, based on all the first scores with respect to each of the plurality of word combinations being identified to be less than a predetermined value, acquire second scores for each of the plurality of word combinations by inputting each of the plurality of word combinations to a sentence separation model for identifying an accuracy of a word combination, identifying one word combination among the plurality of word combinations based on the second scores, and providing the identified one word combination to a translation model which performs translation.

    SYSTEM AND METHOD FOR GENERATING INFORMATION FOR INTERACTION WITH A USER

    公开(公告)号:US20210004702A1

    公开(公告)日:2021-01-07

    申请号:US16979091

    申请日:2019-03-28

    Abstract: The present disclosure relates to an artificial intelligence (AI) system for simulating functions of the human brain, such as cognition and decision making, by using a machine learning algorithm such as deep learning or the like, and to an application thereof.
    A method for generating, by a first interactive electronic device of a first user, information for interaction with the first user includes: receiving, from a second interactive electronic device, information about an interaction between a second user and the second interactive electronic device; and generating interactive information to be provided to the first user, by applying the interactive information provided from the second interactive electronic device to a first AI learning model. At least a part of the method for generating interactive information may use a rule-based model, or an AI model trained according to at least one of a machine learning algorithm, a neural network algorithm, and a deep learning algorithm.

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