Implicit identification of translation payload with neural machine translation

    公开(公告)号:US10909331B2

    公开(公告)日:2021-02-02

    申请号:US16024475

    申请日:2018-06-29

    Applicant: Apple Inc.

    Abstract: Systems and processes for operating an electronic device to train a machine-learning translation system are described. In one process, a first set of training data is obtained. The first set of training data includes at least one payload in a first language and a translation of the at least one payload in a second language. The process further includes obtaining one or more templates for adapting the at least one payload; adapting the at least one payload using the one or more templates to generate at least one adapted payload formulated as a translation request; generating a second set of training data based on the at least one adapted payload; and training the machine-learning translation system using the second set of training data.

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