Learning is a distinctive feature of intelligent behaviour. High-throughput experimental data
and Big Data promise to open new windows on complex systems such as cells, the brain or …

Zipf's law is a fundamental paradigm in the statistics of written and spoken natural language
as well as in other communication systems. We raise the question of the elementary units for …

Explaining the diversity of languages across the world is one of the central aims of
typological, historical, and evolutionary linguistics. We consider the effect of language …

This review compares how humans process action and language sequences produced by
other humans. On the one hand, we identify commonalities between action and language …

Starting from a view on language as a complex, hierarchically organized system composed
of many parts that have many interactions, this paper investigates statistical relationships …

Dependency distance is regarded as an index of memory load and a measure of syntactic
difficulty. Previous research has found that dependency distance tends to minimize both …

Zipf's law, as a power-law regularity, confirms long-range correlations between the elements
in natural and artificial systems. In this article, this law is evaluated for one hundred live …

This work presents a text mining context and its use for a deep analysis of the messages
delivered by politicians. Specifically, we deal with an expert systems-based exploration of …

In recent years, researchers have realized the difficulties of fitting power-law distributions
properly. These difficulties are higher in Zipfian systems, due to the discreteness of the …

A family of information theoretic models of communication was introduced more than a
decade ago to explain the origins of Zipf's law for word frequencies. The family is a based on …