Expertini Research Research
Artificial Intelligence And Data Science PDF Available DOI: 10.1038/s41562-024-01815-w Non-peer-reviewed Preprint

Human Languages with Greater Information Density Increase Communication Speed, but Decrease Conversation Breadth

Pedro Aceves, James A. Evans  ·  Published 2021-12-15

Abstract

Human languages vary widely in how they encode information within circumscribed semantic domains (e.g., time, space, color, human body parts and activities), but little is known about the global structure of semantic information and nothing about its relation to human communication. We first show that across a sample of ~1,000 languages, there is broad variation in how densely languages encode information into their words. Second, we show that this language information density is associated with a denser configuration of semantic information. Finally, we trace the relationship between language information density and patterns of communication, showing that informationally denser languages tend toward (1) faster communication, but (2) conceptually narrower conversations within which topics of conversation are discussed at greater depth. These results highlight an important source of variation across the human communicative channel, revealing that the structure of language shapes the nature and texture of human engagement, with consequences for human behavior across levels of society.
📄 Full Paper Available as PDF
This paper is available as a downloadable PDF.
📄 Download PDF

✨ AI Plain-English Summary

Get a plain-English summary of this paper generated by AI (5 free per day).

Comments (0)

No comments yet. Be the first to comment.

Related Papers

Artificial Intelligence And Data Science PDF

Sparse matrix-variate Gaussian process blockmodels for network modeling

2012
Artificial Intelligence And Data Science PDF

Hierarchical Maximum Margin Learning for Multi-Class Classification

2012
Artificial Intelligence And Data Science PDF

Tightening MRF Relaxations with Planar Subproblems

2012
Artificial Intelligence And Data Science PDF

Rank/Norm Regularization with Closed-Form Solutions: Application to ...

2012