- Patent Title: Phonetic patterns for fuzzy matching in natural language processing
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Application No.: US15813416Application Date: 2017-11-15
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Publication No.: US10546062B2Publication Date: 2020-01-28
- Inventor: Sean M. Fuoco , John M. Ganci, Jr. , Craig M. Trim , Jie Zeng
- 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: Garg Law Firm, PLLC
- Agent Rakesh Garg; James Nock
- Main IPC: G10L15/00
- IPC: G10L15/00 ; G10L15/26 ; G10L17/00 ; G06F17/27 ; G10L15/02 ; G10L25/33

Abstract:
A token is extracted from a Natural Language input. A phonetic pattern is computed corresponding to the token, the phonetic pattern including a sound pattern that represents a part of the token when the token is spoken. New data is created from data of the phonetic pattern, the new data including a syllable sequence corresponding to the phonetic pattern. A state of a data storage device is changed by storing the new data in a matrix of syllable sequences corresponding to the token. An option is selected that corresponds to the token by executing a fuzzy matching algorithm using a processor and a memory, the selecting of the option is based on a syllable sequence in the matrix.
Public/Granted literature
- US20190147036A1 PHONETIC PATTERNS FOR FUZZY MATCHING IN NATURAL LANGUAGE PROCESSING Public/Granted day:2019-05-16
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