Probabilistic, Multi-staged Interpretation of Spoken Utterances

Author

Zukerman, Ingrid ; Niemann, Michael ; George, Sarah

Author_Institution

Fac. of Inf. Technol., Monash Univ., Clayton, VIC

fYear

2006

fDate

Nov. 28 2006-Dec. 1 2006

Firstpage

194

Lastpage

194

Abstract

We describe Scusi?, a multi-stage, spoken language interpretation mechanism designed to be part of a robot- mounted dialogue system. Scusi?´s interpretation process maps spoken utterances to conceptual graphs, and the nodes in these graphs to concepts in the world. Maximum posterior probability is used to rank the (partial) interpretations produced at each stage of this process. We show how the features of our interpretation process yield desirable behaviours that support robust and flexible system performance.

Keywords

graph theory; interactive systems; maximum likelihood estimation; natural language interfaces; robots; Scusi?; conceptual graphs; maximum posterior probability; probabilistic multistaged interpretation; robot-mounted dialogue system; spoken language interpretation mechanism; spoken utterances; Australia; Character generation; Computational intelligence; Information technology; Natural languages; Neural networks; Robots; Robustness; Speech recognition; Tree graphs;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on

Conference_Location

Sydney, NSW

Print_ISBN

0-7695-2731-0

Type

conf

DOI

10.1109/CIMCA.2006.165

Filename

4052811