Invention Grant
- Patent Title: Cross-lingual classification using multilingual neural machine translation
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Application No.: US16610233Application Date: 2019-08-26
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Publication No.: US11373049B2Publication Date: 2022-06-28
- Inventor: Melvin Jose Johnson Premkumar , Akiko Eriguchi , Orhan Firat
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Middleton Reutlinger
- International Application: PCT/US2019/048125 WO 20190826
- International Announcement: WO2020/046807 WO 20200305
- Main IPC: G06F40/58
- IPC: G06F40/58

Abstract:
Training and/or using a multilingual classification neural network model to perform a natural language processing classification task, where the model reuses an encoder portion of a multilingual neural machine translation model. In a variety of implementations, a client device can generate a natural language data stream from a spoken input from a user. The natural language data stream can be applied as input to an encoder portion of the multilingual classification model. The output generated by the encoder portion can be applied as input to a classifier portion of the multilingual classification model. The classifier portion can generate a predicted classification label of the natural language data stream. In many implementations, an output can be generated based on the predicted classification label, and a client device can present the output.
Public/Granted literature
- US20200342182A1 CROSS-LINGUAL CLASSIFICATION USING MULTILINGUAL NEURAL MACHINE TRANSLATION Public/Granted day:2020-10-29
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