Introduction
Word length and phrase length influence the ease of reading and understanding of a given text. Short words are usually more common (Zipf's law). Short sentences require less abstraction ability to understand. The readability analysis could be useful to make a text better, augmenting its accessibility.
Why have we developed this?
The readability index tells us how easy a given text is to understand.
A well-written text is effective, easy to understand and quick to read.
This index helps us understand the text's complexity in order to better schedule the activities of translators and revisers.
More than ever, written information, especially in the Internet, must be direct and well structured.
This analysis can help achieve both goals.
yc c on 21 Mar 10takes the burden out of learning by automatically creating a learning schedule that adapts to the individual's performance and needs. The system combines proven learning science with the latest in adaptive, semantic and social Web technologies. Powered by personalized learning algorithms, Smart.fm measures memory strength on a granular item by item basis. The algorithms are based on decades of research on optimum learning patterns in the fields of cognitive science and neuroscience.
