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We all try to talk with animals, but very few of us do so professionally. And even fewer are trying to build devices that could allow us to communicate with our pets and farm animals. Meet one person who is trying to do just that: Con Slobodchikoff, a professor emeritus at Northern Arizona University, and a modern-day Dr. Doolittle.

The urge to converse with animals is age-old, long predating the time when smartphones became our best friends. A new app, is the product of a growing interest in enlisting additional intelligences - machine-learning algorithms - to decode animal communication. The app detects and analyzes cat utterances in real-time, assigning each one a broadly defined "intent," such as happy, resting, hunting or "mating call." It then displays a conversational, plain English "translation" of whatever intent it detects. MeowTalk uses the sounds it collects to refine its algorithms and improve its performance, the founders said, and pet owners can provide in-the-moment feedback if the app gets it wrong. In 2021, MeowTalk researchers reported that the software could distinguish among nine intents with 90 percent accuracy overall. But the app was better at identifying some than others, not infrequently confusing "happy" and "pain," according to the results. Dogs could soon have their own day. Zoolingua, a start-up based in Arizona, is hoping to create an A.I.-powered dog translator that will analyze canine vocalizations and body language. Still, even sophisticated algorithms may miss critical real-world context and cues, said Alexandra Horowitz, an expert on dog cognition at Barnard College. For instance, much of canine behavior is driven by scent. "How is that going to be translated, when we don't know the extent of it ourselves?" Dr. Horowitz said in an email.

Language of Dogs

Sociolinguist Gavin Lamb examines how people use language to build social relationships with non-human beings, like dogs. He cites the research of Alexandra Horowitz, a dog-cognition scientist who studied verbal human-dog interaction. Some interesting findings: 1. Humans use dog-directed parentese for attention-getting, positive-affect, using a higher pitch, like we might for babies/toddlers. 2. Talking to dogs serves as a social lubricant for starting up conversations, or diffusing tense situations with other humans. 3. Asking rhetorical, unanswerable questions, e.g. "What's up, buddy?": an example of phatic communication, which is not information-driven, but which helps establish or maintain social relationships. The language serves a socio-pragmatic, rather than denotative function.

Dogs mull over human speech much the way we do, and they try hard to decipher what we're saying to them, a new study suggests. The research, published in the journal Current Biology, shows that our dogs are riveted to our words.

In this TED Talk, Patricia Kuhl discusses how babies learn language. Using lab experiments and brain scans, such as PET scans, her team of researches were able to determine that babies "take statistics." This means they use a process of reasoning to determine what sounds they need to learn to say.

Eye contact plays a bigger role in communication than previously thought. Our pupils, which we cannot control, expands or contracts based on the attractiveness of what we're looking at. Blinking speed can also tell us something. You blink faster when talking to someone you find attractive. Too much constant eye contact can make people feel uncomfortable. A reason why children are often victims of pet attacks is that they stare too long at the animal and the animal feels threatened. The best use of eye contact is regular intervals rather than constant eye contact.

This article explains how dogs can interpret our speech. Not only are they able to understand the words we say but also how we say them. They can learn words on their own and even better when we use an appropriate tone. This means when we "vent" to our dogs, they might actually understand what we are saying.