…. a company focused on integrating brain based AI into language learning products
to maximise learning effectiveness.
Language Parent
was chosen as the company name due to the importance of a “parent” role in the language learning process, popularised by one of the company’s founders.
Beyond simply supporting effective language learning
once various languages have been fully integrated and “hardened” for the purpose of supporting language learning in people, the resulting IP and language data will be made available for industries requiring highly accurate, meaning based computer understanding of language.
Chris Lonsdale
Chris Lonsdale is a psychologist, linguist, and course designer with over 40 years of experience in Asia.
He has worked with leading global clients such as Coca-Cola, JP Morgan, and AIA, delivering accelerated corporate training programs that achieve results in days — not months.
His TEDx talk “How to Learn Any Language in 6 Months” has been viewed over 36 million times and remains in TEDx’s Top 10 most-watched for 12 consecutive years.
In 2010, Chris developed Kungfu English — a brain-based language acquisition system built on neuroscience and accelerated learning principles.
This method has been used by learners across Greater China, Singapore, Korea, and beyond.
SpeechGenie represents the next evolution of his method, integrating cognitive AI to adapt to each learner’s unique language development process.
Chris is the author of The Third Ear (in English), and How to Learn Any Language in 6 Months (originally written in Chinese and published across China, Taiwan, Singapore, Hong Kong, and Korea).
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Your Struggles Aren’t Your Fault – Rebooting the Brain’s Natural Language System
For more than forty years I have asked myself a simple question: why do some people learn languages quickly and naturally, while others struggle despite years of study? This question has shaped almost every major decision of my life. It guided my studies in psychology and linguistics. It took me across Asia, where I witnessed…
John Ball
John Ball is a cognitive scientist, AI systems architect, and the founder & CTO of Language Parent Inc. He has spent many years developing the Cognitive AI that is the core inside Speech Genie. This is NOT a Large Language Model, but something very different. It is language understanding for machines the way people understand language.
John is the creator of Patom Theory — a brain-based model of natural language understanding (NLU) that enables machines to process language like the human brain.
His approach to language understanding does not rely on statistical models but instead uses pattern-based reasoning grounded in cognitive science. His system has been tested across nine languages, enabling truly conversational AI interactions based on meaning rather than probability.
John has been working in IT his entire career and spent over 20 years working in senior technical and leadership roles at major global companies including IBM, CSC, and Telstra.
John holds a BSc in Computer Science and Pure Mathematics from the University of Sydney, an MSc in Cognitive Science from UNSW, and an MBA from Macquarie Graduate School of Management. He is also the author of How to Solve AI with Our Brain (2024), and a frequent speaker on cognitive AI at international academic conferences.
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What’s missing from AI – Part 1
A brain in hand, a robot here ponders the use of ‘contextual meaning’ to help it emulate humans. But how do we store meaning? Photo by julien Tromeur on Unsplash Background In the 1930s, the American focus on behaviourism turned…
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Magic from the Speech Genie
Learning a new language as an adult is difficult, requiring years of work to progress. Or does it? Today’s discussion is with Chris Lonsdale, the creator of Kungfu English, a system designed to mimic his success in learning Mandarin and…
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New language model for human conversation!
The breathtaking view from Kobe University looking over Osaka Bay – home to the RRG 2025 bi-annual conference. Linguistic Conference: RRG 2025 The linguistic conference in Kobe, Japan, has just wrapped up. Expert linguists from around the world gave English…
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Understanding isn’t just memorization
We learn all the time, continuously, regardless of our age. We never stop, but would it surprise you that many scientists propose the model where we stop learning while we are young? That is false, although more research would help…
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Knowledge versus Language
The biggest limitation of today’s Large Language models (LLMs)—or just ChatGPT for many people who aren’t in the AI space—is the tight coupling between the language, knowledge and context. I call today’s kind of statistical approximation ‘lossy’ because its representation…
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Patom Theory Understands the Meaning Behind Language
For most of my life, I have pondered a question that sits at the very center of howour brain works: how do we understand language?The question isn’t how we repeat language, nor how we recognize its surfacepatterns, but how we…
Meet the Team Behind the Method
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