USE OF SMALL UNIT LANGUAGE MODEL FOR TRAINING LARGE UNIT LANGUAGE MODELS

Patent №

US 10,832,657

Granted

2020-11-10

Filed 2018

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

5

ml · nlp · speech · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15909206

A computer-implemented method, computer program product, and apparatus are provided. The method includes generating a plurality of sequences of small unit tokens from a first language model that is trained with a small unit corpus including the small unit tokens, the small unit corpus having been derived by tokenization with a small unit. The method further includes tokenizing the plurality of sequences of small unit tokens by a large unit that is larger than the small unit, to create a derived large unit corpus including derived large unit tokens.

Machine learningNatural languageSpeechKnowledge representationAI hardwareG10L 15/063B41B 27/08G06F 40/284G06F 40/47G06F 40/49G06N 3/044G06N 3/0442G06N 3/045+4 more

AI classification

Natural language1.00
AI hardware1.00
Speech1.00
Machine learning1.00
Knowledge representation0.97
Vision0.07
Planning0.00
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 450770775

Assignors

SUZUKI, MASAYUKI, ITOH, NOBUYASU, KURATA, GAKUTO

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

From the same owner

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