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    Model training method and apparatus
    1.
    发明授权
    Model training method and apparatus 有权

    公开(公告)号：US11488013B2

    公开(公告)日：2022-11-01

    申请号：US16562783

    申请日：2019-09-06

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Hwidong Na ,  Hyohyeong Kang ,  Hogyeong Kim ,  Hoshik Lee

    IPC: G06N3/08

    Abstract: A model training method and apparatus is disclosed, where the model training method acquires a recognition result of a teacher model and a recognition result of a student model for an input sequence and trains the student model such that the recognition result of the teacher model and the recognition result of the student model are not distinguished from each other.

    Apparatus and method with classification
    2.
    发明授权
    Apparatus and method with classification 有权

    公开(公告)号：US11100374B2

    公开(公告)日：2021-08-24

    申请号：US16671639

    申请日：2019-11-01

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Young-Seok Kim ,  Hwidong Na ,  Seongmin Ok ,  Min-Joong Lee

    IPC: G06K9/00 ,  G06K9/62 ,  G06N3/04

    Abstract: A processor-implemented classification method includes: determining a first probability vector including a first probability, for each of a plurality of classes, resulting from a classification of an input with respect to the classes; determining, based on the determined first probability vector, whether one or more of the classes represented in the first probability vector are confusing classes; adjusting, in response to one or more of the classes being the confusing classes, the determined first probability vector based on a first probability of each of the confusing classes and a maximum value of the first probabilities; determining a second probability vector including a second probability, for each of the classes, resulting from another classification of the input with respect to the classes; and performing classification on the input based on a result of a comparison between the determined second probability vector and the adjusted first probability vector.

    Neural network method and apparatus
    3.
    发明授权
    Neural network method and apparatus 有权

    公开(公告)号：US10957309B2

    公开(公告)日：2021-03-23

    申请号：US15838519

    申请日：2017-12-12

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Hwidong Na

    IPC: G10L15/16 ,  G10L25/30 ,  G10L15/28 ,  G06N3/08 ,  G06N3/04 ,  G06N5/00 ,  G10L15/183 ,  G10L15/08

    Abstract: A method and apparatus for training a recognition model and a recognition method and apparatus using the model are disclosed. The apparatus for training the model obtains an estimation hidden vector output from a hidden layer of the model in response to an estimation output vector output from the model at a previous time being input into the model at a current time, and trains the model such that the estimation hidden vector of the current time matches an answer hidden vector output from the hidden layer in response to an answer output vector, corresponding to the estimation output vector of the previous time, being input into the model at the current time.

    Method and apparatus with sentence mapping
    5.
    发明授权
    Method and apparatus with sentence mapping 有权

    公开(公告)号：US11055496B2

    公开(公告)日：2021-07-06

    申请号：US16371949

    申请日：2019-04-01

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Jihyun Lee ,  Hwidong Na

    IPC: G06F40/00 ,  G06F40/51 ,  G06F40/35 ,  G06F40/289

    Abstract: A sentence mapping method includes obtaining a source language document in a source language and a target language document in a target language, wherein the target language document is a translation of the source language document, generating a translated document by translating the target language document into the source language, and mapping source language sentences in the source language document and target language sentences with the target language document by comparing the source language document and the translated document.

    Machine translation method and apparatus
    6.
    发明授权
    Machine translation method and apparatus 有权

    公开(公告)号：US10949625B2

    公开(公告)日：2021-03-16

    申请号：US16007073

    申请日：2018-06-13

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Hwidong Na

    IPC: G06F40/40 ,  G06F40/58 ,  G06F40/44 ,  G10L15/18

    Abstract: A machine translation method includes translating a source sentence using a first model, determining a back-translation probability of a translation result of the source sentence being back-translated into the source sentence using a second model, applying the back-translation probability to context information extracted from the source sentence in the first model, and retranslating the source sentence using the first model and the context information to which the back-translation probability is applied.

    Machine translation method and apparatus
    9.
    发明授权
    Machine translation method and apparatus 有权

    公开(公告)号：US10067939B2

    公开(公告)日：2018-09-04

    申请号：US15401126

    申请日：2017-01-09

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Hwidong Na ,  Hoshik Lee ,  Young Sang Choi

    IPC: G06F17/28 ,  G10L25/30

    Abstract: A machine translation method includes converting a source sentence written in a first language to language-independent information using an encoder for the first language, and converting the language-independent information to a target sentence corresponding to the source sentence and written in a second language different from the first language using a decoder for the second language. The encoder for the first language is trained to output language-independent information corresponding to the target sentence in response to an input of the source sentence.

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