IP Library Granted Patent US 8,898,202
Granted Patent B2
US 8,898,202 · App. 13/873,578 · Granted Nov 25, 2014

Systems and methods for generating markup-language based expressions from multi-modal and unimodal inputs

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Quick Facts
Patent No.
US 8,898,202
App. No.
13/873,578
Granted
Nov 25, 2014
Kind
B2
Abstract

When using finite-state devices to perform various functions, it is beneficial to use finite state devices representing regular grammars with terminals having markup-language-based semantics. By using markup-language-based symbols in the finite state devices, it is possible to generate valid markup-language expressions by concatenating the symbols representing the result of the performed function. The markup-language expression can be used by other applications and/or devices. Finite-state devices are used to convert strings of words and gestures into valid markup-language, for example, XML, expressions that can be used, for example, to provide an application program interface to underlying system applications.

Claims (41)

1. A method comprising:

generating an input lattice representing input data having a first modality input and a second modality input;

using a finite-state device to perform a function using the input lattice, the finite-state device having symbols based on markup-language semantics, wherein performing the function comprises mapping a first markup-language expression to a second markup-language expression using a transducer relating the first-markup-language expression to the second-markup-language expression based on a level of coincidence between the first modality input and the second modality input;

generating a result finite-state device representing a result of the function, wherein the result finite-state device relates a set of input symbols to a set of output symbols;

concatenating output symbols in the set of output symbols of the result finite-state device, to yield a markup-language expression; and

outputting the markup-language expression.

2. The method of claim 1 , wherein the finite-state device uses extensible-markup-language-based symbols.

3. The method of claim 1 , wherein the input data further comprises a command received via one of a speech input subsystem, a pen input subsystem, a computer vision input subsystem, a haptic input subsystem, a gaze input subsystem, and a body motion input subsystem.

4. The method of claim 1 , wherein the input data further comprises a command received via two of a speech input subsystem, a pen input subsystem, a computer vision input subsystem, a haptic input subsystem, a gaze input subsystem, and a body motion input subsystem.

5. The method of claim 1 , wherein the set of output symbols represents sequences of symbols.

6. The method of claim 1 , wherein the function performs multimodal integration of the input data.

7. The method of claim 1 , further comprising:

recognizing a gesture string in the input data; and

modifying a language model based on the gesture string prior to performing the function.

8. A system comprising:

a processor; and

a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising:

generating an input lattice representing input data having a first modality input and a second modality input;

using a finite-state device to perform a function using the input lattice, the finite-state device having symbols based on markup-language semantics, wherein performing the function comprises mapping a first markup-language expression to a second markup-language expression using a transducer relating the first-markup-language expression to the second-markup-language expression based on a level of coincidence between the first modality input and the second modality input;

generating a result finite-state device representing a result of the function, wherein the result finite-state device relates a set of input symbols to a set of output symbols;

concatenating output symbols in the set of output symbols of the result finite-state device, to yield a markup-language expression; and

outputting the markup-language expression.

9. The system of claim 8 , wherein the finite-state device uses extensible-markup-language-based symbols.

10. The system of claim 8 , wherein the input data further comprises a command received via one of a speech input subsystem, a pen input subsystem, a computer vision input subsystem, a haptic input subsystem, a gaze input subsystem, and a body motion input subsystem.

11. The system of claim 8 , wherein the input data further comprises a command received via two of a speech input subsystem, a pen input subsystem, a computer vision input subsystem, a haptic input subsystem, a gaze input subsystem, and a body motion input subsystem.

12. The system of claim 8 , wherein the set of output symbols represents sequences of symbols.

13. The system of claim 8 , wherein the function performs multimodal integration of the input data.

14. The system of claim 8 , the computer-readable storage medium having additional instruction stored which, when executed by the processor, result in the operations further comprising:

recognizing a gesture string in the input data; and

modifying a language model based on the gesture string prior to performing the function.

15. A computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising:

generating an input lattice representing input data having a first modality input and a second modality input;

using a finite-state device to perform a function using the input lattice, the finite-state device having symbols based on markup-language semantics, wherein performing the function comprises mapping a first markup-language expression to a second markup-language expression using a transducer relating the first-markup-language expression to the second-markup-language expression based on a level of coincidence between the first modality input and the second modality input;

generating a result finite-state device representing a result of the function, wherein the result finite-state device relates a set of input symbols to a set of output symbols;

concatenating output symbols in the set of output symbols of the result finite-state device, to yield a markup-language expression; and

outputting the markup-language expression.

16. The computer-readable storage device of claim 15 , wherein the finite-state device uses extensible-markup-language-based symbols.

17. The computer-readable storage device of claim 15 , wherein the input data further comprises a command received via one of a speech input subsystem, a pen input subsystem, a computer vision input subsystem, a haptic input subsystem, a gaze input subsystem, and a body motion input subsystem.

18. The computer-readable storage device of claim 15 , wherein the input data further comprises a command received via two of a speech input subsystem, a pen input subsystem, a computer vision input subsystem, a haptic input subsystem, a gaze input subsystem, and a body motion input subsystem.

19. The computer-readable storage device of claim 15 , wherein the set of output symbols represents sequences of symbols.

20. The computer-readable storage device of claim 15 , wherein the function performs multimodal integration of the input data.

Assignments (4)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 26, 2017
From: AT&T INTELLECTUAL PROPERTY II, L.P.
To: NUANCE COMMUNICATIONS, INC.
Reel/Frame 041512/0608 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 6, 2015
From: AT&T CORP.
To: AT&T PROPERTIES, LLC
Reel/Frame 036737/0479 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 6, 2015
From: AT&T PROPERTIES, LLC
To: AT&T INTELLECTUAL PROPERTY II, L.P.
Reel/Frame 036737/0686 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 30, 2013
From: JOHNSTON, MICHAEL J.; BANGALORE, SRINIVAS
To: AT&T CORP.
Reel/Frame 030317/0132 →