This was a game changer for me and working with LLMS, while I still think they make you dumb, and we essentially use them to offload critical thinking (almost only find myself using them when tired lazy, and just cant), if you must use them use them as a study tool.
I did this because I realized I was hitting an issue where I theoretically "knew" a word (would get it always correct on the card), but wouldn't always recognize it in a novel context.
I'm hoping that having the context be variable when I'm learning it will help fix this issue.
Some of the problem is due to the specificity of the training effect. I.e., if you mostly practice something through flash cards then you’re going to be training your ability to work with that on flash cards.
With language, there’s an additional challenge—many if not most words have different meanings in different contexts.
If your target language happens to be Chinese then you can give it a try at https://reader.longyan.io/landing
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Related comment on another app: https://news.ycombinator.com/item?id=43769831
I also tend to believe to just convert between them is not the best approach. Better to find different content for both. If student wants to learn traditional script, they usualy want content from Taiwan and not from China, and the other way round.
There is no long-term gain from storing "hair" and "emit" under the same entry in your database. Storing 髮 and 發 separately, along with 发 as the simplification of both is a small effort now that will constrain you a lot less in the future. I've literally seen this pitfall happen with about 40 different Chinese learning apps over the last 15 years. Only a few (like Du Chinese and Pleco) got it right early on.