Invention Grant
- Patent Title: Unified embeddings for translation
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Application No.: US16232984Application Date: 2018-12-26
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Publication No.: US10796107B2Publication Date: 2020-10-06
- Inventor: Terry Kong
- Applicant: SoundHound, Inc.
- Applicant Address: US CA Santa Clara
- Assignee: SoundHound, Inc.
- Current Assignee: SoundHound, Inc.
- Current Assignee Address: US CA Santa Clara
- Agency: Haynes Beffel & Wolfeld LLP
- Agent Andrew L. Dunlap
- Main IPC: G06F40/216
- IPC: G06F40/216 ; G06F40/58 ; G06K9/62 ; G06F40/295

Abstract:
A method of training word embeddings is provided. The method includes determining anchors, each comprising a first word in a first domain and a second word in a second domain, training word embeddings for the first and second domains, and training a transform for transforming word embedding vectors in the first domain to word embedding vectors in the second domain, wherein the training minimizes a loss function that includes an anchor loss for each anchor, such that for each anchor, the anchor loss is based on a distance between the anchor's second word's embedding vector and the transform of the anchor's first word's embedding vector, and for each anchor, the anchor loss for the respective anchor is zero when the distance between the respective anchor's second word's embedding vector and the transform of the respective anchor's first word's embedding vector is less than a specific tolerance.
Public/Granted literature
- US20200210529A1 UNIFIED EMBEDDINGS FOR TRANSLATION Public/Granted day:2020-07-02
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