Invention Grant
- Patent Title: Machine training for native language and fluency identification
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Application No.: US15695209Application Date: 2017-09-05
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Publication No.: US10431203B2Publication Date: 2019-10-01
- Inventor: David Millen , Livy Maria Real Coelho
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Scully, Scott, Murphy & Presser, P.C.
- Agent Grant Johnson
- Main IPC: G10L15/06
- IPC: G10L15/06 ; G06N3/08 ; G06N3/04 ; G10L15/02 ; G06F17/27 ; G10L15/16 ; G10L15/187 ; G10L15/18 ; G10L25/51 ; G10L15/26 ; G10L25/27

Abstract:
Training a machine by a machine learning technique for recognizing speech utterance to determine language fluency level of a user. Native speaker recorded data and language specific dictionary of heteronyms may be retrieved. The native speaker recorded data may be parsed and the heteronyms from the native speaker recorded data may be isolated. Linguistic features from the native speaker recorded data including at least linguistic features associated with the heteronyms may be extracted, and a language dependent machine learning model is generated based on the linguistic features.
Public/Granted literature
- US20190073996A1 MACHINE TRAINING FOR NATIVE LANGUAGE AND FLUENCY IDENTIFICATION Public/Granted day:2019-03-07
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