⌬ sbll

• how to manage learning content for sbll﹖
• ⧖ how to learn to correctly respond to queries or standardized language in target lang﹖

• task-based needs analysis sounds interesting

• need to understand:

  • ◊ per-situation language learning
  • ⋱ learn to express something in the target language

architecture

• ⛁ sbll-data is a pure json+jsonl thing that works as a submodule in 2 other repos
• ⛁ glosses4learning is my new general json-based db for vocab for basically all lang apps; pure data
• ⛁ sbll-cms is a local Flask app for CRUD and fancy management on top of ⛁ glosses4learning, which it expects as a submodule at ./data/. It also pulls in ⛁ sbll-data in at ./situations and auto-exports into it on command
• ⛁ sbll-frontend is the actual app, or will become it, the thing to show to people. It pulls in ⛁ sbll-data at (currently) ./public/data/situations

legacy

• ⛁ sbll-backend is obsolete
• ⛁ masry-app was a quick attempt; also dead
• any kind of lingu stuff/secret-language-app is also obsolete; inspo only
  • ⛁ linguanodon-api
  • ⛁ linguanodon-nuxt
  • ⛁ linguanodon-couch-pouch
  • ⛁ igu-algos, ⛁ igu-schemas, ⛁ igu-learn-components (although they predate this project, and are also older)