Accession Number:

ADA505848

Title:

A Statistical Approach for Text Processing in Virtual Humans

Descriptive Note:

Conference paper

Corporate Author:

UNIVERSITY OF SOUTHERN CALIFORNIA MARINA DEL REY CA INST FOR CREATIVE TECHNOLOGIES

Personal Author(s):

• Leuski, Anton
• Traum, David

Report Date:

2008-12-01

Pagination or Media Count:

8.0

Abstract:

We describe a text classification approach based on statistical language modeling. We show how this approach can be used for several natural language processing tasks in a virtual human system. Specifically, we show it can be applied to language understanding, language generation, and character response selection tasks. We illustrate these applications with some experimental results.

Descriptors:

• *STATISTICAL ANALYSIS
• *NATURAL LANGUAGE
• *VIRTUAL REALITY
• *TEXT PROCESSING
• *HUMANS
• LANGUAGE
• SPEECH RECOGNITION
• STATISTICAL PROCESSES
• SELECTION
• INFORMATION PROCESSING
• RESPONSE
• SEMANTICS
• MAXIMUM LIKELIHOOD ESTIMATION
• SYMPOSIA
• MATHEMATICAL MODELS
• REPRINTS

Subject Categories:

• Information Science
• Statistics and Probability
• Cybernetics
• Miscellaneous Detection and Detectors
• Voice Communications

Distribution Statement:

APPROVED FOR PUBLIC RELEASE