Method and system for generating input grammars for multi-modal dialog systems

• US 20060123358A1
• Filed: 12/03/2004
• Published: 06/08/2006
• Est. Priority Date: 12/03/2004
• Status: Abandoned Application

• Current Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Original Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Inventors: Gupta, Anurag K., Lee, Hang Shun
• Application Number:
  US11/004,339
• Publication Number:
  US 20060123358A1
• Time in Patent Office: Days
• US Class Current: 715/809
• CPC Class Codes: G06F 40/35 Discourse or dialogue representation

Abstract

A method for operating a multi-modal dialog system (104) is provided. The multi-modal dialog system (104) comprises a plurality of modality recognizers (202), a dialog manager (206), and a grammar generator (208). The method interprets a current context of a dialog. A template (216) is generated, based on the current context of the dialog and a task model (218). Further, a current modality capability information (214) is obtained. Finally, a multi-modal grammar (220) is generated based on the template (216) and the current modality capability information (214).

Claims

1. A method for operating a multi-modal dialog system, the method comprising:

interpreting a current context of a dialog in the multi-modal dialog system;

generating a template based on the current context of the dialog and a task model;

obtaining a current modality capability information; and

generating a multi-modal grammar based on the template and the current modality capability information.

2. The method according to claim 1 further comprising:

filtering the multi-modal input grammar into one or more modality specific grammars; and

generating interpretations of the dialog during a turn using the one or more modality specific grammars.

3. The method according to claim 2 further comprising:

integrating the interpretations of the dialog into one or more combined semantic meaning representations.

4. The method according to claim 1, wherein generating the template comprises one or more of a group of techniques consisting of using discourse expectation, task elaboration, task elaboration, task repair, look ahead strategy and global dialog control.

5. The method according to claim 1, wherein generating the multi-modal grammar comprises:

converting the template into a non-terminal grammar rule;

performing coordination markup on the non-terminal grammar rule; and

elaborating the non-terminal grammar rule using a vocabulary of relevant modalities.

6. The method according to claim 1 further comprising combining the multi-modal grammar into a network grammar.

7. A multi-modal dialog system comprising:

a plurality of modality recognizers, the plurality of modality recognizers generating interpretations of user input obtained during a turn of dialog through various modalities;

a dialog manager, the dialog manager generating a template based on a current context of the dialog; and

a grammar generator, the grammar generator generating multi-modal input grammar based on the template and a current modality capability information.

8. The multi-modal dialog system according to claim 7 wherein the dialog manager maintains and updates the current context of the dialog.

9. The multi-modal dialog system according to claim 7 further comprising a multi-modal input fusion component, the multi-modal input fusion component integrating the interpretations of the dialog into one or more combined semantic meaning representation.

10. The multi-modal dialog system according to claim 7 further comprising a multi-modal input fusion component, the multi-modal input fusion component filtering the multi-modal input grammar into one or more modality specific grammars that are used by the plurality of modality recognizers to interpret the user input.

11. A computer program product for use with a computer, the computer program product comprising a computer usable medium having a computer readable program code embodied therein for operating a multi-modal dialog system, the computer readable program code performing:

interpreting a current context of a dialog in the multi-modal dialog system;

generating a template based on the current context of the dialog and a task model;

obtaining a current modality capability information; and

generating a multi-modal grammar based on the template and the current modality capability information.

12. The computer program product in accordance with claim 11, wherein the computer readable program code further performing:

filtering the multi-modal input grammar into one or more modality specific grammars; and

generating interpretations of the dialog during a turn using the one or more modality specific grammar.

13. The computer program product in accordance with claim 12, wherein the computer readable program code further integrates the interpretations of the dialog into one or more combined semantic meaning representations.

14. The computer program product in accordance with claim 11, wherein the computer readable program code generates the template using one or more group of techniques consisting of discourse expectation, task elaboration, task repair, look ahead strategy and global dialog control.

15. The computer program product in accordance with claim 11, wherein the computer readable program code performing the step of generating the multi-modal grammar, the computer readable program code further performs:

converting the template into a non-terminal grammar rule;

performing coordination markup on the non-terminal grammar rule; and

elaborating the non-terminal grammar rule using a vocabulary of relevant modalities.

16. The computer program product in accordance with claim 11, wherein the computer readable program code further filters the multi-modality grammar into one or more modality specific grammars.

17. An electronic equipment for operating a multi-modal dialog system, comprising:

means for interpreting a current context of a dialog in the multi-modal dialog;

means for generating a template based on the current context of the dialog and a task model;

means for obtaining a current modality capability information; and

means for generating a multi-modal grammar based on the template and the current modality capability information.