Zipf's laws of meaning in Catalan

06/30/2021
by   Neus Català, et al.
0

In his pioneering research, G. K. Zipf formulated a couple of statistical laws on the relationship between the frequency of a word with its number of meanings: the law of meaning distribution, relating the frequency of a word and its frequency rank, and the meaning-frequency law, relating the frequency of a word with its number of meanings. Although these laws were formulated more than half a century ago, they have been only investigated in a few languages. Here we present the first study of these laws in Catalan. We verify these laws in Catalan via the relationship among their exponents and that of the rank-frequency law. We present a new protocol for the analysis of these Zipfian laws that can be extended to other languages. We report the first evidence of two marked regimes for these laws in written language and speech, paralleling the two regimes in Zipf's rank-frequency law in large multi-author corpora discovered in early 2000s. Finally, the implications of these two regimes will be discussed.

READ FULL TEXT
research
03/27/2019

Polysemy and brevity versus frequency in language

The pioneering research of G. K. Zipf on the relationship between word f...
research
05/30/2016

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change

Understanding how words change their meanings over time is key to models...
research
09/11/2023

Exploring the Law of Numbers: Evidence from China's Real Estate

The renowned proverb, Numbers do not lie, underscores the reliability an...
research
07/24/2023

Corrections of Zipf's and Heaps' Laws Derived from Hapax Rate Models

The article introduces corrections to Zipf's and Heaps' laws based on sy...
research
06/04/2019

Optimal coding and the origins of Zipfian laws

The problem of compression in standard information theory consists of as...
research
12/16/2014

Scaling laws in human speech, decreasing emergence of new words and a generalized model

Human language, as a typical complex system, its organization and evolut...
research
03/06/2018

Co-occurrence of the Benford-like and Zipf Laws Arising from the Texts Representing Human and Artificial Languages

We demonstrate that large texts, representing human (English, Russian, U...

Please sign up or login with your details

Forgot password? Click here to reset