TL;DR
This paper introduces a novel text analysis method inspired by the physics of friction, using character frequency distributions to measure text complexity and compare it to established readability metrics.
Contribution
It proposes a new friction-based analogy for text analysis, providing a unique approach to assess readability and text characteristics.
Findings
The method correlates with Flesch Reading Ease scores.
Source code for the analysis is provided.
Examples demonstrate the method's application across various texts.
Abstract
I present a method for text analysis based on an analogy with the dynamic friction of sliding surfaces. One surface is an array of points with a 'friction coefficient' derived from the distribution frequency of a text's alphabetic characters. The other surface is a test patch having points with this friction coefficient equal to a median value. Examples are presented from an analysis of a broad range of public domain texts, and comparison is made to the Flesch Reading Ease. Source code for the analysis program is provided.
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Taxonomy
TopicsHandwritten Text Recognition Techniques · Natural Language Processing Techniques · Mathematics, Computing, and Information Processing