Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA.
Department of Language Science and Technology, Saarland University, Saarbrücken, Germany.
Trends Cogn Sci. 2024 Jun;28(6):489-491. doi: 10.1016/j.tics.2024.03.012. Epub 2024 Apr 16.
In a recent paper, Aceves and Evans computed information and semantic density measures for hundreds of languages, and showed that these measures predict the pace and breadth of ideas in communication. Here, we summarize their key findings and situate them in a broader debate about the adaptive nature of language.
在最近的一篇论文中,Aceves 和 Evans 计算了数百种语言的信息和语义密度指标,并表明这些指标可以预测语言交流中思想的速度和广度。在这里,我们总结了他们的主要发现,并将其置于关于语言适应性的更广泛的辩论中。