Scaling Laws in Language Families

Area of Science:

• Linguistics
• Computational Linguistics
• Quantitative Linguistics

Background:

• Language families exhibit complex structures influenced by historical and social factors.
• Understanding linguistic diversity distribution is crucial for evolutionary linguistics.
• Previous studies have explored language scaling but lacked a comprehensive cross-family analysis.

Purpose of the Study:

• To investigate universal scaling laws in language families.
• To analyze emergent patterns in Zipf-like classification graphs across diverse languages.
• To identify structural divisions within major language families based on macroscopic and microscopic properties.

Main Methods:

• Utilized a dataset of over six thousand languages.
• Applied Zipf-like classification graphs to analyze language family structures.
• Examined both macroscopic (languages per family) and microscopic (speakers per language) aspects.
• Identified distinct groupings among the largest language families.

Main Results:

• Discovered a notable division among fourteen major language families (excluding Afro-Asiatic and Nilo-Saharan).
• These families cluster into three distinct quadruplets, each with unique Zipf graph exponents.
• The findings suggest underlying organizational principles governing language family growth and distribution.
• Macroscopic and microscopic analyses revealed consistent structural patterns.

Conclusions:

• The study uncovers a previously unrecognized structural organization in major language families.
• The identified quadruplets and their distinct scaling exponents provide quantitative evidence for linguistic diversification models.
• These insights contribute to a deeper understanding of linguistic evolution and the global distribution of languages.