TL;DR
This paper introduces the concept of linguistic information energy, modeling how texts are processed into meaning and demonstrating its application in estimating publication dates and measuring text similarity.
Contribution
It presents a novel systems-based model of linguistic information processing, defining and analyzing concepts like information energy and ordering energy.
Findings
Information energy can estimate publication dates.
Information energy measures text similarity.
The model provides insights into linguistic processing.
Abstract
In this treatment a text is considered to be a series of word impulses which are read at a constant rate. The brain then assembles these units of information into higher units of meaning. A classical systems approach is used to model an initial part of this assembly process. The concepts of linguistic system response, information energy, and ordering energy are defined and analyzed. Finally, as a demonstration, information energy is used to estimate the publication dates of a series of texts and the similarity of a set of texts.
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Taxonomy
TopicsNatural Language Processing Techniques