LANGUAGE-UNDERSTANDING SYSTEMS EMPLOYING MACHINE TRANSLATION COMPONENTS

Patent №

US 7,212,964

Granted

2007-05-01

Filed 2002

Owner

AT & T

Lab

AI components

6

ml · nlp · speech · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10103049

Embodiments of the present invention relate to a method and system for augmenting a training database of an automated language-understanding system. In one embodiment, a training example in a first language may be received from the training database. The first language-training example may be translated to a second language output. The second language output may be translated to a first variant of the first language-training example. An action pair including the first variant of the first language-training example and an action command associated with the first language-training example may be stored in an augmented training database.

Machine learningNatural languageSpeechKnowledge representationPlanningAI hardwareG06F 40/45G10L 15/22G10L 15/26H04M 3/4936G10L 2015/223H04M 2201/40

AI classification

Natural language1.00
Speech1.00
Machine learning1.00
Planning1.00
AI hardware0.99
Knowledge representation0.96
Vision0.15
Evolutionary computation0.00

Ownership

AT & T

assignment · 127180767

Assignors

ALSHAWI, HIYAN, DOUGLAS, SHONA

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

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