Statistical Approach for Text Processing in Virtual Humans

摘要

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.