Invention Grant
- Patent Title: Implicit identification of translation payload with neural machine translation
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Application No.: US16024475Application Date: 2018-06-29
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Publication No.: US10909331B2Publication Date: 2021-02-02
- Inventor: Stephan Peitz , Udhyakumar Nallasamy , Matthias Paulik , Yun Tang
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: Apple Inc.
- Current Assignee: Apple Inc.
- Current Assignee Address: US CA Cupertino
- Agency: Dentons US LLP
- Main IPC: G10L21/00
- IPC: G10L21/00 ; G06F40/58 ; G10L15/22 ; G10L15/18

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.
Public/Granted literature
- US20190303442A1 IMPLICIT IDENTIFICATION OF TRANSLATION PAYLOAD WITH NEURAL MACHINE TRANSLATION Public/Granted day:2019-10-03
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