Google has launched three new AI-powered language learning experiments aimed at making the process more personalized, dynamic, and practical. Leveraging its Gemini multimodal large language model, these features are designed to address real-world challenges in language acquisition and may position Google as a competitor to platforms like Duolingo.
The first tool, called “Tiny Lesson”, lets users describe a situation — such as “finding a lost passport” — and receive context-specific vocabulary, grammar tips, and example phrases like “I want to report it to the police.” This feature aims to quickly equip learners with the phrases they need in real-life moments.
The second tool, “Slang Hang,” focuses on helping learners sound more natural and less formal. Rather than textbook-style conversations, users are exposed to informal dialogue between native speakers, such as street vendors and friends reuniting. Users can hover over slang terms to see explanations, though Google warns the model may occasionally misuse or invent slang, so verification with trusted sources is encouraged.
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The third experiment, “Word Cam,” enables users to snap a photo of their surroundings. Gemini then identifies objects in the image and labels them in the target language, providing additional vocabulary for similar or related items. For example, it might show both “window” and “blinds,” helping learners expand their word bank in everyday settings.
These experiments are intended to show how AI can make self-guided language learning more immersive and situationally relevant. Currently, they support a wide array of languages, including Arabic, Chinese, English, French, German, Greek, Hebrew, Hindi, Italian, Japanese, Korean, Portuguese, Russian, Spanish, and Turkish.
Users interested in trying out these features can access them via Google Labs, where the company continues to test cutting-edge AI applications for public feedback.
