SBIR/STTR Research Award

VOICE ASSISTED MISSION PLANNING VIA NATURAL LANGUAGE UNDERSTANDING ABDUCTIVE NETWORKS

Award identifier 881c1b805230c98d9f9f0f5dd8360fc84936d530f4a6c93bf9c514f7ec26ce34Awarding agency Department of Defense · Navy

Award amount

$99,771

Program and phase

SBIR · Phase I

Award year

1995

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
ABTECH CORPORATION
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

AbTech will survey the hardware and software available to determine what capabilities should be included in a natural language understanding mission planning assistant. A language parsing and encoding system in ANN will be used to parse and encode ASCII outpuf resulting from a voice recognition system such as DragoDictate. The ASCII output from the voice recongnition system will go to the ANN language encoding facility which will parse the sentence and assign deep meaning to the words as a function of context. The encoded strings corresponding to the spoken words will go to AIM which will have been trained on variable constructs permissible in English so that the encoded word meaning strings can be used to select an appropriate response to the user. The AIMS EXPERT expert system will be used to create expert systems capable of activating the command sequences needed for the mission planning assistant to accomplish the result desired by the user or to activate and display the function requested by the user.

Technology keywords

Not reported

Agency intelligence

Department of Defense

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