CONVERTING TEXT TO A NUMERICAL VECTOR BY MAPPING TO A HYPERCUBE

Patent №

US 11,675,965

Granted

2023-06-13

Filed 2021

Owner

AT&T INTELLECTUAL PROPERTY I, L.P.

Lab

AI components

4

nlp · vision · speech · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17225041

An example method is provided for encoding text for language processing. The method may be executed by a processing system, and the method includes receiving text comprising a plurality of alphanumeric characters or symbols and converting the text into a numerical vector comprising a plurality of numerical values, by mapping each alphanumeric character or symbol of the text to a vertex coordinate of one of a plurality of vertices of a hypercube, wherein a number of the plurality of vertices is equal to or greater than a number of the plurality of alphanumeric characters or symbols, wherein the numerical vector consumes less space in memory than the text. An amount of time consumed by language processing of the numerical vector may be less than an amount of time consumed by language processing of the text.

AI classification

Natural language1.00
AI hardware1.00
Vision0.99
Speech0.88
Evolutionary computation0.03
Machine learning0.02
Knowledge representation0.02
Planning0.00

Ownership

AT&T INTELLECTUAL PROPERTY I, L.P.

assignment · 559740315

Assignors

YIN, CHANGCHUAN, LOHE, SACHIN

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC