A Statistical Approach for Text Processing in Virtual Humans
نویسندگان
چکیده
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 applied to language understanding, language generation, and character response selection tasks. We illustrate these applications with some experimental results.
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تاریخ انتشار 2008