Google announced the release of three new AI experiments on Tuesday aimed at helping people learn to speak new languages in a more personalized way. The experiments are still in the early stages. Still, they suggest Google might be positioning itself as a competitor to language learning apps like Duolingo with the help of its multimodal large language model, Gemini. The first experiment, called “Tiny Lesson,” helps users quickly learn specific phrases needed in particular situations.
Users describe a scenario, such as “finding a lost passport,” and receive vocabulary and grammar tips tailored to the context. Suggestions might include responses like “I don’t know where I lost it” or “I want to report it to the police.”
The second experiment, “Slang Hang,” teaches users to speak more colloquially rather than formally. It generates realistic conversations between native speakers, showing how informal dialogue unfolds.
Examples include interactions such as a street vendor chatting with a customer or two friends reuniting on the subway.
Google’s language tools explored
Users can hover over unfamiliar terms to learn their meanings and applications.
Google notes that while the tool is useful, users should cross-reference slang terms with reliable sources to avoid errors. The third experiment, “Word Cam,” allows users to snap a photo of their surroundings, with Gemini detecting and labeling objects in the language being learned. This feature provides additional terms to describe objects in the environment, helping to reinforce vocabulary.
For instance, if you know the word for “window,” the tool might introduce you to the word for “blinds.
Google’s goal with these experiments is to explore how AI can make independent language learning more dynamic and personalized. The experiments support multiple languages, including Arabic, Chinese, English, French, German, Greek, Hebrew, Hindi, Italian, Japanese, Korean, Portuguese, Russian, Spanish, and Turkish. These new learning tools reflect Google’s ongoing effort to use artificial intelligence to enhance everyday experiences, making it easier for people to acquire new skills in a personalized and context-aware manner.
Image Credits: Photo by Shantanu Kumar on Pexels
April Isaacs is a news contributor for DevX.com She is long-term, self-proclaimed nerd. She loves all things tech and computers and still has her first Dreamcast system. It is lovingly named Joni, after Joni Mitchell.
