Improving the Reading Rate of Double-R-Language

نویسندگان

  • Mary Freiman
  • Jerry Ball
چکیده

This paper describes changes to a model of reading comprehension to improve its reading rate and bring it into closer alignment with human reading rates. The broader context of the research is development of language capable synthetic teammates that can be integrated into team training simulations. To use synthetic teammates in team training without detriment, we believe the synthetic teammates must be both functional and cognitively plausible. By functional, we mean that the synthetic teammate operates in real time, performs the task, and handles the range of linguistic inputs that are encountered. By cognitively plausible, we mean that the synthetic teammate adheres to well established cognitive constraints on human language processing—including the incremental and interactive processing of language at human reading rates. Achieving human reading rates in a cognitively plausible and functional model of reading comprehension is a research challenge that has not been met to date.

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تاریخ انتشار 2010