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 the linguistics world from the science of signs (semiotics) to one aligned with one of…
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 Cantonese as a 20-year-old. Subscribe now Chris is a language educator and psycho-linguist whose system…
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 presentations of progress over 2 days in a variety of languages including: Japanese, Taiwanese, Cantonese,…
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 prove the point. We just need some people to use experimental science! Inside view of…
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 cannot be converted back to the original meaning at all times. Now I’m biased because…
