Method and system for using voice input for performing device functions
First Claim
Patent Images
1. A method comprising:
- determining one or more semantic efficiency values of a semantic network, wherein the semantic network includes a plurality of context nodes defining a stored natural language context, and wherein the semantic network is represented by data stored in a memory of a computer system;
rearranging a topology of the semantic network to improve at least one of the one or more semantic efficiency values;
receiving a voice input at the computer system, wherein the voice input includes a plurality of words;
analyzing one or more of the plurality of words of the voice input using the rearranged semantic network;
determining a contextual meaning for the voice input using one or more of the analyzed words, wherein the contextual meaning for the voice input is based on the plurality of context nodes in the rearranged semantic network; and
in response to determining the contextual meaning for the voice input, causing a device to perform a function corresponding to the determined contextual meaning.
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Abstract
A computer implemented data processor system automatically disambiguates a contextual meaning of natural language symbols to enable precise meanings to be stored for later retrieval from a natural language database, so that natural language database design is automatic, to enable flexible and efficient natural language interfaces to computers, household appliances and hand-held devices.
101 Citations
38 Claims
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1. A method comprising:
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determining one or more semantic efficiency values of a semantic network, wherein the semantic network includes a plurality of context nodes defining a stored natural language context, and wherein the semantic network is represented by data stored in a memory of a computer system; rearranging a topology of the semantic network to improve at least one of the one or more semantic efficiency values; receiving a voice input at the computer system, wherein the voice input includes a plurality of words; analyzing one or more of the plurality of words of the voice input using the rearranged semantic network; determining a contextual meaning for the voice input using one or more of the analyzed words, wherein the contextual meaning for the voice input is based on the plurality of context nodes in the rearranged semantic network; and in response to determining the contextual meaning for the voice input, causing a device to perform a function corresponding to the determined contextual meaning. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26)
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27. A system comprising:
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a processor configured to execute instructions; and a memory coupled to the processor, wherein the memory stores data representing a semantic network, wherein the semantic network includes a plurality of context nodes defining a stored natural language context, and wherein the memory stores program instructions executable by the processor to; determine one or more semantic efficiency values of the semantic network; rearrange a topology of the semantic network to improve at least one of the one or more semantic efficiency values; receive a voice input at the system, wherein the voice input includes a plurality of words; analyze one or more of the plurality of words of the voice input using the rearranged semantic network; determine a contextual meaning for the voice input using one or more of the analyzed words, wherein the contextual meaning for the voice input is based on the plurality of context nodes in the rearranged semantic network; and in response to determining the contextual meaning for the voice input, perform a function corresponding to the determined contextual meaning. - View Dependent Claims (28)
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29. A computer usable storage medium comprising program instructions, wherein the program instructions are executable to implement:
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determining one or more semantic efficiency values of a semantic network, wherein the semantic network includes a plurality of context nodes defining a stored natural language context, and wherein the semantic network is represented by data stored in a memory of a computer system; rearranging a topology of the semantic network to improve at least one of the one or more semantic efficiency values; receiving a voice input at the computer system, wherein the voice input includes a plurality of words; analyzing one or more of the plurality of words of the voice input using the rearranged semantic network; determining a contextual meaning for the voice input using one or more of the analyzed words, wherein the contextual meaning for the voice input is based on the plurality of context nodes in the rearranged semantic network; and in response to determining the contextual meaning for the voice input, causing a device to perform a function corresponding to the determined contextual meaning. - View Dependent Claims (30, 31, 32)
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33. A method comprising:
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determining one or more semantic efficiency values of a semantic network, wherein the semantic network includes a plurality of context nodes defining a stored natural language context, and wherein the semantic network is represented by data stored in a memory of a computer system; rearranging a topology of the semantic network to improve at least one of the one or more semantic efficiency values; receiving a voice input at the computer system, wherein the voice input includes a plurality of words; analyzing one or more of the plurality of words of the voice input using the rearranged semantic network; determining a contextual meaning for the voice input using one or more of the analyzed words, wherein the contextual meaning for the voice input is based on the plurality of context nodes in the rearranged semantic network; and generating text corresponding to the determined contextual meaning. - View Dependent Claims (34)
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35. A system comprising:
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a processor configured to execute instructions; and a memory coupled to the processor, wherein the memory stores data representing a semantic network, wherein the semantic network includes a plurality of context nodes defining a stored natural language context, and wherein the memory stores program instructions executable by the processor to; determine one or more semantic efficiency values of the semantic network; rearrange a topology of the semantic network to improve at least one of the one or more semantic efficiency values; receive a voice input at the system, wherein the voice input includes a plurality of words; analyze individual ones of the plurality of words of the voice input using the rearranged semantic network; determine a contextual meaning for the voice input using one or more of the analyzed words, wherein the contextual meaning for the voice input is based on the plurality of context nodes in the rearranged semantic network; and generate text corresponding to the determined contextual meaning. - View Dependent Claims (36)
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37. A computer usable storage medium comprising program instructions, wherein the program instructions are executable to implement:
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determining one or more semantic efficiency values of a semantic network, wherein the semantic network includes a plurality of context nodes defining a stored natural language context, and wherein the semantic network is represented by data stored in a memory of a computer system; rearranging a topology of the semantic network to improve at least one of the one or more semantic efficiency values; receiving a voice input at the computer system, wherein the voice input includes a plurality of words; analyzing individual ones of the plurality of words of the voice input using the rearranged semantic network; determining a contextual meaning for the voice input using one or more of the analyzed words, wherein the contextual meaning for the voice input is based on the plurality of context nodes in the rearranged semantic network; and generating text corresponding to the determined contextual meaning. - View Dependent Claims (38)
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Specification