Study Finds Human Language Patterns in Birdsong and Whale Songs Through Cultural Learning
A recent study published in Science Advances reveals that young Bengalese finches learn their complex songs using statistical patterns similar to those human infants use to acquire language. Led by Prof. Inbal Arnon from the Hebrew University, Prof. Simon Kirby from the University of Edinburgh, and Prof. Kazuo Okanoya from Teikyo University, the research shows that the culturally transmitted songs of Bengalese finches share statistical features with human language, such as Zipfian distribution of sound sequences that function like words.
The team analyzed recordings of Bengalese finch songs from early development stages to maturity, applying methods originally designed to understand how human babies segment speech into words. They found that the finches’ songs contain statistically predictable sequences that facilitate learning, mirroring the patterns found in human language acquisition. These patterns were present even in the birds’ earliest songs, suggesting an evolutionary adaptation to ease learning.
This discovery builds on previous findings by the same researchers and Dr. Alan Garland from the University of St Andrews, who identified similar statistical structures in the culturally transmitted songs of humpback whales. The study suggests that such core features of language may evolve independently in different species whenever communication is learned rather than inherited genetically.
Prof. Arnon emphasized that these features likely develop because they simplify learning, challenging the notion that language is uniquely human. Prof. Kirby noted the surprising similarities between species separated by over 300 million years of evolution, highlighting that humans share the planet with other species possessing culturally evolving communication systems. The findings imply that evolution may repeatedly arrive at similar elegant solutions to facilitate the learning and transmission of complex communication across generations.
The research opens new avenues for understanding animal communication by applying insights from human language acquisition, suggesting a universal blueprint underlying learned communication systems beyond humans.
