Searching for a lost Maya city, and measuring the information density of language
Science Magazine Podcast · Science Magazine
September 5, 201928m 58s
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Show Notes
This week’s show starts with Contributing Correspondent Lizzie Wade, who spent 12 days with archaeologists searching for a lost Maya city in the Chiapas wilderness in Mexico. She talks with host Sarah Crespi about how you lose a city—and how you might go about finding one.
And Sarah talks with Christophe Coupé, an associate professor in the department of linguistics at the University of Hong Kong in China, about the information density of different languages. His work, published this week in Science Advances, suggests very different languages—from Chinese to Japanese to English and French—are all equally efficient at conveying information.
This week’s episode was edited by Podigy.
Ads on this week’s show: Kroger’s Zero Hunger, Zero Waste campaign; KiwiCo
Download a transcript (PDF)
Listen to previous podcasts.
About the Science Podcast
And Sarah talks with Christophe Coupé, an associate professor in the department of linguistics at the University of Hong Kong in China, about the information density of different languages. His work, published this week in Science Advances, suggests very different languages—from Chinese to Japanese to English and French—are all equally efficient at conveying information.
This week’s episode was edited by Podigy.
Ads on this week’s show: Kroger’s Zero Hunger, Zero Waste campaign; KiwiCo
Download a transcript (PDF)
Listen to previous podcasts.
About the Science Podcast
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