vhrrsrivr
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2. this is more challenging as there's very often not a 1-to-1 relationship between grammar points.
3. I have a branch on the hsrs github that changes the sampling to be prefix-order so an llm can guide it, with mixed results. There's a tension between picking common outputs, and picking the output that will maximize your increase in retention across multiple cards. That being said 色んな娘 is definitely me forgetting to tag 娘 as non-attributive (like pronouns), will fix. you can read about the mechanisms I have to keep the content as natural as possible here: https://github.com/satchelspencer/hsrs/blob/main/docs/deck-c...
See how it's applied to Japanese learning here: https://elldev.com/feed/grsly
however, individual grammar outputs aren't their own cards, you get a fresh example every time you see a card. this requires a very different scheduling approach, since you have to estimate how all the cards in the 'call tree' contribute to the overall result and reschedule them as well https://github.com/satchelspencer/hsrs/blob/main/docs/overvi...