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    Answer message recommendation method and device therefor
    2.
    发明授权
    Answer message recommendation method and device therefor 有权

    公开(公告)号：US10469412B2

    公开(公告)日：2019-11-05

    申请号：US15756208

    申请日：2016-09-01

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Seung-hak Yu ,  Eun-jeong Ko ,  Deok-ho Kim ,  Hae-jun Lee

    IPC: G06F17/00 ,  H04L12/58 ,  G06F3/0488 ,  G06F17/22 ,  G06F17/27 ,  G06F17/28 ,  G06F3/0481 ,  H04W4/12 ,  G06F3/0482

    Abstract: Provided are a device for transmitting an answer message including a display configured to display information, a communicator configured to receive a question message from another device, a processor configured to control the display to display graphics representing a plurality of pieces of recommendation information which are includable in an answer message for the received question message and relations between the plurality of pieces of recommendation information, and a user input unit configured to receive a user input that selects at least one of the plurality of pieces of recommendation information, wherein the communicator is further configured to transmit an answer message including the selected recommendation information to the another device according to the user input.

    Method and apparatus for recommending word
    3.
    发明授权
    Method and apparatus for recommending word 有权

    公开(公告)号：US11556708B2

    公开(公告)日：2023-01-17

    申请号：US17099831

    申请日：2020-11-17

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Hae-jun Lee ,  Seung-hak Yu

    IPC: G10L25/30 ,  G06F40/274 ,  G06F3/0482 ,  G06F3/023 ,  G06F40/53 ,  G06F40/216 ,  G06F40/253 ,  G06F40/268 ,  G06F40/284

    Abstract: Provided is a device including a memory storing information about sequences of a plurality of registered words; an input unit comprising input circuitry configured to receive an input of a text comprising a first eojeol not belonging to the plurality of registered words, wherein, in the first eojeol, a first word is attached to a first registered word that belongs to the plurality of registered words; and a controller configured to detect the first registered word from the first eojeol, to determine a predicted eojeol to be input after the text, based on the information about the sequences of the plurality of registered words and the detected first registered word and to control a display to display the predicted eojeol.

    ELECTRONIC APPARATUS FOR COMPRESSING LANGUAGE MODEL, ELECTRONIC APPARATUS FOR PROVIDING RECOMMENDATION WORD AND OPERATION METHODS THEREOF
    4.
    发明申请
    ELECTRONIC APPARATUS FOR COMPRESSING LANGUAGE MODEL, ELECTRONIC APPARATUS FOR PROVIDING RECOMMENDATION WORD AND OPERATION METHODS THEREOF 审中-公开

    公开(公告)号：US20180260379A1

    公开(公告)日：2018-09-13

    申请号：US15888442

    申请日：2018-02-05

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Seung-hak Yu ,  Nilesh Kulkarni ,  Hee-jun SONG ,  Hae-jun Lee

    IPC: G06F17/27 ,  G06N3/08 ,  G06N3/04

    Abstract: An electronic apparatus for compressing a language model is provided, the electronic apparatus including a storage configured to store a language model which includes an embedding matrix and a softmax matrix generated by a recurrent neural network (RNN) training based on basic data including a plurality of sentences, and a processor configured to convert the embedding matrix into a product of a first projection matrix and a shared matrix, the product of the first projection matrix and the shared matrix having a same size as a size of the embedding matrix, and to convert a transposed matrix of the softmax matrix into a product of a second projection matrix and the shared matrix, the product of the second projection matrix and the shared matrix having a same size as a size of the transposed matrix of the softmax matrix, and to update elements of the first projection matrix, the second projection matrix and the shared matrix by performing the RNN training with respect to the first projection matrix, the second projection matrix and the shared matrix based on the basic data.

    System and method of determining input characters based on swipe input
    5.
    发明授权
    System and method of determining input characters based on swipe input 有权

    公开(公告)号：US11188158B2

    公开(公告)日：2021-11-30

    申请号：US15995841

    申请日：2018-06-01

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Jung-wook Kim ,  Hui-won Yun ,  Hae-jun Lee ,  Ho-jin Jung

    IPC: G06F17/00 ,  G06F3/023 ,  G06N3/08 ,  G06F3/0488 ,  G06N3/04

    Abstract: Provided are an artificial intelligence (AI) system and an application thereof, which simulate functions of a human brain, such as recognition and determination, by using a machine learning algorithm, such as deep-learning. A method of processing, by a device, a keyboard input, based on training, may include: displaying a keyboard on a screen of the device; receiving a swipe input of a user, the swipe input connecting a plurality of keys on a displayed keyboard; extracting a trajectory connecting the plurality of keys; applying, to a trained model for a keyboard input, based on the trajectory, trajectory information indicating a shape of the trajectory and a relative position of the trajectory with respect to the keyboard; and determining at least one character corresponding to the trajectory, based on a result of the applying the trajectory information.

    Electronic apparatus for compressing language model, electronic apparatus for providing recommendation word and operation methods thereof
    6.
    发明授权
    Electronic apparatus for compressing language model, electronic apparatus for providing recommendation word and operation methods thereof 有权

    公开(公告)号：US10691886B2

    公开(公告)日：2020-06-23

    申请号：US15888442

    申请日：2018-02-05

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Seung-hak Yu ,  Nilesh Kulkarni ,  Hee-jun Song ,  Hae-jun Lee

    IPC: G06F40/284 ,  G06F40/211 ,  G06F40/20 ,  G06N3/04 ,  G06N3/08 ,  G06F40/216 ,  G06N5/02

    Abstract: An electronic apparatus for compressing a language model is provided, the electronic apparatus including a storage configured to store a language model which includes an embedding matrix and a softmax matrix generated by a recurrent neural network (RNN) training based on basic data including a plurality of sentences, and a processor configured to convert the embedding matrix into a product of a first projection matrix and a shared matrix, the product of the first projection matrix and the shared matrix having a same size as a size of the embedding matrix, and to convert a transposed matrix of the softmax matrix into a product of a second projection matrix and the shared matrix, the product of the second projection matrix and the shared matrix having a same size as a size of the transposed matrix of the softmax matrix, and to update elements of the first projection matrix, the second projection matrix and the shared matrix by performing the RNN training with respect to the first projection matrix, the second projection matrix and the shared matrix based on the basic data.

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