ADVERSARIAL DISCRIMINATIVE NEURAL LANGUAGE MODEL ADAPTATION

    公开(公告)号:US20220229985A1

    公开(公告)日:2022-07-21

    申请号:US17340990

    申请日:2021-06-07

    Applicant: Apple Inc.

    Abstract: Systems and methods for updating a language model are provided. One example method includes, at an electronic device with one or more processors and memory, training a first language model using a training data set comprising user-generated and user-relevant data, and storing a reference version of the first language model including a first overall probability distribution. Based on the reference version of the first language model, a second language model including a second overall probability distribution is updated (i.e., adapted) using the first overall probability distribution as a constraint on the second overall probability distribution.

    MULTILINGUAL WORD PREDICTION
    5.
    发明申请

    公开(公告)号:US20170357632A1

    公开(公告)日:2017-12-14

    申请号:US15270711

    申请日:2016-09-20

    Applicant: Apple Inc.

    Abstract: Systems and processes for multilingual word prediction are provided. In accordance with one example, a method includes, at an electronic device having one or more processors and memory, identifying context information of the electronic device and generating, with the one or more processors, a plurality of candidate words based on the context information, wherein a first candidate word of the plurality of candidate words corresponds to a first language of a plurality of languages and a second candidate word of the plurality of candidate words corresponds to a second language of the plurality of languages different than the first language.

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