Khan Academy CodeTutor
Master computer science through Socratic AI guidance, not just answers.
Master a new language while browsing the web via context-aware immersive translation.
Fluent represents the next generation of 'passive learning' technology, utilizing a sophisticated browser-integrated NLP engine that dynamically translates select words and phrases on any website into the user's target language. Unlike traditional static translation tools, Fluent’s 2026 architecture leverages real-time semantic analysis to ensure translations maintain the original context of the sentence, preventing the 'clunky' localized feel of previous iterations. By replacing a small percentage of words on a page with their translated counterparts, it forces the user into an immersive environment without requiring dedicated study time. Its backend employs a Spaced Repetition System (SRS) that tracks user interactions with specific vocabulary, ensuring that forgotten words appear more frequently. Positioned as a 'frictionless learning' layer, Fluent bridges the gap between formal education and daily internet consumption. The tool is particularly effective for intermediate learners looking to expand their vocabulary in specialized niches (e.g., tech, finance, or news) by seeing target words in professionally written articles. Its 2026 roadmap emphasizes deeper integration with LLM-based conversational agents for real-time pronunciation feedback and grammatical nuance explanations.
Uses BERT-based models to ensure that homonyms are translated correctly based on the surrounding sentence structure.
Master computer science through Socratic AI guidance, not just answers.
The AI-driven Socratic coding mentor that bridges the gap between learning and building.
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An algorithmic scheduler that determines the optimal time to re-show a word based on the user's previous success or failure in 'solving' it.
A slider-based DOM manipulation engine that adjusts the percentage of translated words per paragraph in real-time.
High-fidelity text-to-speech (TTS) utilizing neural voices to provide authentic accent examples for every translated word.
Clicking a word opens a mini-modal providing multiple definitions, part-of-speech tags, and example sentences.
Granular controls to enable or disable the translation engine on specific domains (e.g., banking or sensitive work sites).
Allows users to export their learned words to CSV or JSON formats for use in other learning platforms.
Traditional study is boring; users want to read the news but need vocabulary help.
Registry Updated:2/7/2026
Standard language apps don't teach niche industry terms.
Reading a word is different from hearing it in conversation.