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CyberText Technologies

The CyberText Technologies Project, headed by Professor Elaine Treharne, is funded by Stanford University School of Engineering CyberInitiative. Our project team has been cataloguing the history of dominant text-based human communication devices in an effort to identify common traits. These determinable traits could theoretically be used predictively to assess which modern-day technologies are most likely to succeed and what paths imminent text technologies may take. The project is responsible for creating a series of standardized measuring tools and schemas for analysis of these objects, as well as case-study databases for dominant text technologies ranging from Cuneiform tablets to modern-day print. From our databases, machine learning assesses the patterns that will help in forecasting the future of text technologies.

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