International Business Machines Corporation
Phonetic patterns for fuzzy matching in natural language processing

Last updated:

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.

Status:
Grant
Type:

Utility

Filling date:

26 Nov 2019

Issue date:

26 Jul 2022