How Unbound Concepts crunches readability, or how big data could help improve literacy

It’s easy enough to understand why Curious George books are first grade fare and why Camus is often saved for the 12th grade. But what about all the books in between?

For the most part, teachers and literacy experts are the ones charged with considering sentence complexity, word difficulty, themes and other characteristics to judge the readability of text. But by turning over much of that analysis to algorithms, startup Unbound Concepts believes it can not only assess more text with more granularity, it can individualize education for K-12 students and…