I think a cool feature that I would happily pay more for would be a program that auto-generated some sentences using as much of the kanji and vocabulary you have reached Guru for. It could use some new words to give some challenge, but using words we already are familiar with and giving us the chance to learn vocab and grammar at the same time would be a fantastic upgrade module.
This is not exactly what you’re asking for, but I’ve found Massif to be a pretty decent tool for finding good example sentences.
At any given WK level, your ability to decipher a sentence relies too much on knowledge from outside WK (mostly grammar and non-kanji words) to make any meaningful tool connected merely to your level or your gurued vocab. As such, I don’t think what you’re asking for is really feasible as a part of WK.
nuts, but thank you for the link.
There’s also duendecat (yes, http not https), which I think used to use the levels from WaniKani.
Loving those resources. I’ll also throw in Weblio’s example sentence search, which I’ve found to be quite useful.
There’s also Youglish, which looks for words in YouTube captions and takes you straight to the part of the video where it’s used.
Unfortunately, I believe it’s lost a lot of material since YouTube removed community-sourced captions, but in spite of YouTube’s ongoing efforts to ruin YouTube, there’s still some good stuff on there.
Ah, yes, this supremely natural pronunciation!
Excellent resource though, thanks.
Yeah, I briefly considered changing to a different example, but it is frankly criminal that that video only has 59 views.
slow down bub what the heck is this? I just opened it and am looking at here? Thank you for the link, just a little lost.
Thank you, I’ll take a look.
Use the right to select some options, such as what levels to include. It’s a very minimal interface but you’ll probably figure it out quickly.
yea sorry, I think I got it now. thank you for sharing this.
Oh hey, I was right. And it was written by a WaniKani user, @transality.
Here’s the thread: Duendecat - Sentence looper (by WK level).
That’s a cool idea, I’ll have to bookmark this post so I can remember where to find the resources people have linked haha! Also, welcome to Wanikani!!
If you somehow extract the list of known kanji, you might be able to use ChatGPT for that.
There are probably other ways/apps to do the same thing, but I’m using Satori Reader and it pulls all the kanji you know from WK and saves those as a list.
Satori settings are here
You can then feed this list into a prompt, here’s what I used:
I’m studying Japanese and I’m gonna give you a list of kanji that I’ve studied so far. Generate a paragraph of text using these kanji, so that I can practice my reading. The paragraph must not include any kanji that is not on the list.
(list from satori goes here)
The text is pretty bad textbook-style Japanese though, and it contains two kanji that were not actually present in the list I gave it, but here it is if anyone’s interested. I guess with some back and forth prompting you can get a decent result (maybe).
ChatGPT Output
日曜日の朝、私は弟と共に、近くの公園に行きました。公園には大きな木がたくさんあり、花や虫が見られます。弟は木に登るのが好きで、私はその下で本を読みました。
その後、私たちは川の近くに移動し、石を投げて遊びました。弟は石を遠くに投げるのが得意で、私はそれを見て「すごい!」と言いました。川の水は冷たくて、魚が泳いでいるのが見えました。
お昼になると、母が作ってくれたお弁当を食べました。おにぎりや卵焼き、果物が入っていて、とても美味しかったです。弟は特に果物が好きで、イチゴを全部食べてしまいました。
午後には、少し疲れたので、木の下で昼寝をしました。目を覚ますと、空には白い雲が浮かんでいて、風が気持ちよく吹いていました。公園には他の家族もたくさんいて、みんな楽しそうに遊んでいました。
夕方になる前に、私たちは家に帰りました。母は「楽しかった?」と聞いてくれて、私たちは「うん!」と元気よく答えました。その日一日、とても素敵な思い出になりました。