Invention Grant
- Patent Title: Multi-task recurrent neural network architecture for efficient morphology handling in neural language modeling
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Application No.: US15851487Application Date: 2017-12-21
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Publication No.: US10657328B2Publication Date: 2020-05-19
- Inventor: Jerome R. Bellegarda , Jannes G. Dolfing
- 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: G06F40/205
- IPC: G06F40/205 ; G06F40/274 ; G10L25/30 ; G06F40/30 ; G06F40/253 ; G06F40/268

Abstract:
The present disclosure generally relates to systems and processes for morpheme-based word prediction. An example method includes receiving a current word; determining a context of the current word based on the current word and a context of a previous word; determining, using a morpheme-based language model, a likelihood of a prefix based on the context of the current word; determining, using the morpheme-based language model, a likelihood of a stem based on the context of the current word; determining, using the morpheme-based language model, a likelihood of a suffix based on the context of the current word; determining a next word based on the likelihood of the prefix, the likelihood of the stem, and the likelihood of the suffix; and providing an output including the next word.
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