Language Log

Having just spent a week in close quarters with two large German Shepherds and a big German Shepherd mix, I was primed to learn about the Indian Pariah Dog, which somehow crossed the path of my consciousness yesterday.

Observing the behavior and ability of the German Shepherds, and reading about the history and canine qualities of the Indian Pariah Dog, I became fascinated by how different are the aptitudes and characteristics of various types of dogs, yet all domestic dogs are the same species, Canis familiaris, or more technically, a subspecies of the gray wolf, Canis lupus, hence  Canis lupus familiaris, and have been so for more than ten thousand years of evolution.

The social media site r/PetsWithButtons (created in 2020) is full of interesting observations and questions. One of my favorites is "My cat has started to use “vacuum” as a curse word":

Basically the title. I gave him a “vacuum” button because the vacuum is stressful for him and I wanted to be able to clearly communicate that the vacuum was going to happen and let him know “vacuum all done.” He definitely knows what it means because when the vacuum is running he will push “vacuum” repeatedly and also add “nervous” in there too. But now he has started spamming vacuum after I tell him no, like he is using it as a curse word. For example, he will ask for “snackie” when we JUST got done with snackie and I will say “snackie all done” and then he will go spam the vacuum button. Yeah, ok bud, I hear you loud and clear that you feel “vacuum” about “snackie all done.” Or he snuck a lick from the end of my spicy curry dish (I did not authorize this, I looked away for ONE second), I could tell he regretted this (spicy), and then he went and pressed “snackie vacuum.” Yeah, ok bud, that snackie made your mouth feel “vacuum”.

I don’t know what I’m asking really, just commiserating. I guess maybe he needs a “mad” button?

Are nonlinear vocal phenomena as distracting as people think?
Andrey Anikin, ORCID Icon Bioacoustics The International Journal of Animal Sound and its Recording (18 Sep 2025)

Keywords

Roughness    vocal communication    attention    infant cries    auditory salience    nonlinear vocal phenomena

Sino-Platonic Papers is pleased to announce the publication of its three-hundred-and-sixty-fifth issue:

“Horses and Humans: A Consequential Symbiosis,” edited by Victor H. Mair.

Bibliographical cornucopia for linguists, part 1

Since we have such an abundance of interesting articles for this fortnight, I will divide the collection into two parts, and provide each entry with an abstract or paragraph length quotation.

But can they still tell us something useful about language?  Here are two new papers that address that question:

I.

"What the Hidden Rhythms of Orangutan Calls Can Tell Us about Language – New Research." De Gregorio, Chiara. The Conversation, May 27, 2025.

In the dense forests of Indonesia, you can hear strange and haunting sounds. At first, these calls may seem like a random collection of noises – but my rhythmic analyses reveal a different story.

Those noises are the calls of Sumatran orangutans (Pongo abelii), used to warn others about the presence of predators. Orangutans belong to our animal family – we’re both great apes. That means we share a common ancestor – a species that lived millions of years ago, from which we both evolved.

The origins of language
Max Planck Institute for Evolutionary Anthropology (May 9, 2025)

Summary:

    Wild chimpanzees alter the meaning of single calls when embedding them into diverse call combinations, mirroring linguistic operations in human language. Human language, however, allows an infinite generation of meaning by combining phonemes into words and words into sentences. This contrasts with the very few meaningful combinations reported in animals, leaving the mystery of human language evolution unresolved. 

We touched upon this question recently in "Chicken or egg; grammar or language" (1/15/25), where we examined Daniel Everett's thesis as propounded in How Language Began:  The Story of Humanity's Greatest Invention.  In that volume, Everett argues that language is learned / acquired / developed, not hard-wired in the human brain.  He holds that our ancient ancestors, Homo erectus, had the biological and mental equipment for speech 1,500,000 years ago, 10 times earlier than the conventional wisdom that language originated with Homo sapiens 150,000 years ago, and that it was the result of a "language instinct". 

Now we come back to the lower date with this new research as presented in:

Shigeru Miyagawa, Rob DeSalle, Vitor Augusto Nóbrega, Remo Nitschke, Mercedes Okumura, Ian Tattersall. Linguistic capacity was present in the Homo sapiens population 135 thousand years ago. Frontiers in Psychology, 2025; 16 DOI: 10.3389/fpsyg.2025.1503900

This is something I've been waiting for for decades:

"Onomatopoeia Odyssey:  How do animals sound across languages?", by Vivian Li, The Pudding (March, 2025)

An interesting recent review article (Wooster et al., "Animal cognition and culture mediate predator–prey interactions", Trends in Ecology & Evolution 2024) argues for bridging the academic silos of "predator-prey ecology" and "animal cognition and culture":

Abstract: Predator–prey ecology and the study of animal cognition and culture have emerged as independent disciplines. Research combining these disciplines suggests that both animal cognition and culture can shape the outcomes of predator–prey interactions and their influence on ecosystems. We review the growing body of work that weaves animal cognition or culture into predator–prey ecology, and argue that both cognition and culture are significant but poorly understood mechanisms mediating how predators structure ecosystems. We present a framework exploring how previous experiences with the predation process creates feedback loops that alter the predation sequence. Cognitive and cultural predator–prey ecology offers ecologists new lenses through which to understand species interactions, their ecological consequences, and novel methods to conserve wildlife in a changing world.

Oddly, there's nothing in the article about communication, which would seem to be a relevant aspect of "culture", and relevant to studies of "cognition" as well.

As is wont for The New Yorker, this article is long, and it is particularly fascinating, so it is hard to resist quoting many of its more breathtaking revelations:

"How Scientists Started to Decode Birdsong:  Language is said to make us human. What if birds talk, too?"  By Rivka Galchen, The New Yorker (October 14, 2024)

Of course, we've been through the business of animal communication countless times on Language Log, but where this article differs from previous discussions is that it concentrates on content and consciousness rather than vocables and sounds.

On a drizzly day in Grünau im Almtal, Austria, a gaggle of greylag geese shared a peaceful moment on a grassy field near a stream. One goose, named Edes, was preening quietly; others were resting with their beaks pointed tailward, nestled into their feathers. Then a camouflaged speaker that scientists had placed nearby started to play. First came a recorded honk from an unpartnered male goose named Joshua. Edes went on with his preening. Next came a honk that was lower in pitch than the first, with a slight bray. Edes looked up. As the other geese remained tucked in their warm positions, incurious, Edes scanned the field. He had just heard a recorded “distance call” from his life partner, a female goose whom scientists had named Bon Jovi.

In yesterday's "AI deception?" post, I proposed that we ought to apply to AI an analogy to the philosophical evaluation of "theory of mind" issues in animals. And one of the clearest presentations of that evaluation is in Daniel Povinelli,  Jesse Bering, and Steve Giambrone, "Toward a science of other minds: Escaping the argument by analogy" (2000). You should read the whole thing — and maybe look through some of the many works that have cited it. But today I'll just present some illustrative quoted passages.

Noor Al-Sibai, "AI Systems Are Learning to Lie and Deceive, Scientists Find", Futurism 6/7/2024:

AI models are, apparently, getting better at lying on purpose.

Two recent studies — one published this week in the journal PNAS and the other last month in the journal Patterns — reveal some jarring findings about large language models (LLMs) and their ability to lie to or deceive human observers on purpose.