Nah, it's just a weekly general discussion thread. It keeps the community active and shows it's alive, even when links aren't getting posted.
Ideally there'd be more other posts in between with different things, but as you know the userbase on Lemmy is on the smaller side.
I don't know of a machine translation tool that lists them out, but I'm betting you can search up lists of cognates.
I think more useful than the list though is just learning the rules, like the one in your opening sentence.
For that, I recommend Language Transfer. Those lessons (all free audio) go through and try to help you recognize similar patterns of how words change from English into whichever language.
It's very much trying to leverage your developed brain and what you already know.
Yeah, I think there's some stress about getting holiday stuff done, some about wrapping up work projects, some because I'd just gotten into a bad sleep schedule or got lazy in the cold... but as always, it's time to move past the reasons and excuses to make more progress. π
I need to share back more, will try to keep an eye out for things that might make good posts. I do miss that about the old place, used to see more resources and advice just randomly go across. It can be a distraction, but also great motivation.
Mix of ups and downs this week.
I've gotten into to worse time-wasting habits on my phone, tending to mindlessly play chess or scroll Lemmy, etc etc during small downtimes. Need to snap out of that and stop letting Anki cards pile up.
Also started to drift a little into looking for resources too much. Love a good educational resource, but sometimes I find myself seeking those out insteading of using the ones I have. A handful is plenty.
On the upside, I finished my first novella in Spanish. (Not counting that short story collection I read a couple years ago.) Reading a paper book written by a native speaker, aimed at native adults, feels like a pretty good benchmark of progress. Did I understand it all? Not even close. Did I read fast? Nope. But I read through, followed along, finished, and enjoyed it.
Seriously! Even after knowing what it is, I look back at the picture and can barely see any hint of it.
Threadiverse share link: https://threadiverse.link/lemmy.world/post/39995830
What do you think of the Evo lineups this year?
Well that looks really nice. Interested to hear more info. The little armor thing at the end, the title, and the 'new path forward' tidbit make it sound like it'll have some interesting twist.
Thank you for sharing, I had no idea this was a setting! That makes it a lot easier to get the other links.
From OP's post in another thread about this:
The Title & Descriptions are AI generated based on the original Descriptions & The Video Transcripts. The original descriptions rarely reflected the video contents so thatβs why I did that to make it more obvious what the Video is about, unless you prefer descriptions that just contain links to affiliate programs or empty descriptions. The Videos are still original & unchanged so I donβt see a big problem. Also every video has a Feedback option if you find something that you disagree with.
(To be clear, I'm not necessarily endorsing the response, just relaying it.)
Gaming Historian comes to mind. (Caveat: he's no longer doing YT full time, so the uploads are a lot less frequent.) Anyway, he started out as the kind of prototypical kid with Youtube videos, doing a pretty well with the history angle. But over time evolved into a serious documentarion doing top-notch work. Along the same line, DidYouKnowGaming went from an ok channel that repackaged pretty common trivia into interesting but almost click-bait videos, into now being an investigative journalist kinda thing, where they semi-regularly share previously unknown information about old or cancelled games. Still on the games side, Electric Playground has been going for like a quarter-century, since back when it had to be on cable TV instead of Youtube, and Victor Lucas still doesn't suck.
3Blue1brown and Ben Eater make great technical educational videos that, as far as I'm aware, haven't really degraded.
Re: difficulty - Natively has a system where it asks users if x or y was harder. Like they say I've read this book and that book, then there's a screen where you answer comparisons to help improve rankings. It's kinda fun, might be something to consider if you want to make those ratings more detailed.
But then again, for mostly pretty short videos already tagged with understandable 1-5 difficulty levels, I'm not sure how important it is.
cross-posted from: https://lemmy.world/post/39170712
Anki is an open-source flashcard app for Windows, Linux, Mac OSX with versions also available for Android and iOS. Unfortunately, iOS version costs $25, but all other versions are free.
Anki is a self-graded flashcard program / app. This makes it a combination quiz-app + timer system. Unlike Duolingo or other programs, Anki entirely relies upon self-grading, but this is more than sufficient for study.
Anki grabs the top cards from a deck (defaulting to 20 new cards per day. Feel free to customize this to whatever fits your needs best). Then each day, it grabs "scheduled review" cards + shuffles in the new cards, and shows you them one at a time. Once a card is shown to you, you the user click a button to reveal the other side.
After the flip, Anki asks you to self-grade yourself on your performance. "Again" means you grade yourself as "incorrect", and Anki will remember this mistake. Because you were "incorrect" on this card, Anki will show you the card again very soon.
If you choose one of the three "correct" scores (labeled "Hard", "Good" and "Easy"), Anki remembers that you've answered correctly, and will schedule the card some time in the future. I'll get to the difference of the three scores later, but consider all three to just be "correct" for now.
The precise time is calculated based on how well Anki thinks you know the card. If you know the card well, "Good" might schedule the card to be reviewed 1 month from now, but if you've made a lot of mistakes with a particular card, then that card will likely be reviewed 1 or 2 days from now. Its all data collected on a per-card basis.
Above is an example screenshot of Anki's memory: every single self-graded score is remembered on every single card, as well as the date and time of each score.
As such, Anki is a system of spaced repetition. The "better" you are with some cards, the less you see them. The "worse" you are with other cards, the more Anki shows you those particular cards you keep making mistakes with. Timer + self-grading == you only see the cards you're doing bad with, while Anki hides the cards you are doing good with.
The Algorithm
FSRS is a new experimental algorithm Anki is using. There's been 6 versions (FSRS-1, -2, -3,... and of course FSRS 6 today). Fortunately, the overall gist has been the same for all 6 versions. Alas, its a lot of blogposts and technical math that's far too nerdy for most people https://github.com/open-spaced-repetition/fsrs4anki/wiki/The-Algorithm. For the math nerds who want to learn the algorithm, study away. But I'll attempt to do a simpler "translation".
Before we get started, click on your deck's preferences and scroll down to the FSRS button. Ensure it is on.
FSRS is simply three pieces of memory being applied to each and every "card" in your Anki decks. Every single card will try to figure out "R", "S" and "D". R is the probability that you've forgotten a card each day. The longer a card goes without being shown, the worse-and-worse "R" gets (this is the value Anki uses to determine when to repeat a card to you, it wants to show you a card before you've forgotten, but after enough time that you had a chance to forget, defaulting to 10% chance of forgetting).
Every single card tracked by Anki has this "forgetting" curve, primarily defined by the "R" aka Retention variable.
The theory is: if you show a card too often, you never really test your long-term memory. Furthermore, its too much extra work to review so many cards. By waiting days, weeks, or months before showing you a card again, Anki saves you time by not overly-reviewing cards you already know the information of. Furthermore, studies have shown that showing you information "right as you are forgetting about it" is the best way to remember (!!!). Any sooner, and you really aren't learning too well, but instead just temporarily holding things in your short-term or medium-term memory.
"S" stands for Stability. The more "stable" a card is, the longer Anki-FSRS thinks it can stay in your memory memory without review. Most "new" cards are assumed to be forgotten about within a day by default. However, as you get the card "correct" over-and-over again, Anki-FSRS will increase stability, thereby causing the longer review intervals. (Maybe showing you a card once every 3 days, then 7 days, then 1.5 months, then 3 months....).
"D" stands for Difficulty. The more times you get a card wrong (ie: when you click the "Again" button), the worse Difficulty gets. Anki-FSRS remembers that some cards are harder for you to remember... in particular the ones you keep getting wrong.
Even if you get a high-difficulty card correct multiple times, Anki "remembers" that you have been forgetting this card, and will show it to you again sooner. Ex: by default Anki will mature a card within 7x correct answers in a row. However, if a card is "difficult", Anki will keep showing you that card 10x, 15x or more, knowing that you need the extra practice.
Or in more math-nerd terms, "Difficulty" is the derivative of stability. The change-of-stability is determined by the "Difficulty" of a card.
Hard / Good / Easy
Hard / Good / Easy all count as correct (ie: increases the stability of Anki-FSRS), but will do different things to your Difficulty score.
"Good" is the default, and Anki recommends that users hit the "Good" button 80%+ of the time. Lets pretend that a particular "Good" answer will result in 1-month timer for a particular card...
"Easy" basically is telling Anki that you don't want to practice with this card anymore (ie: low-difficulty card). After clicking "Easy", instead of taking a 1-month timer... Anki will likely choose a 1.5-month or 2-month timer on the card.
"Hard" is telling Anki that you want extra practice with this card. It increases difficulty, despite increasing stability. You'll see this card again more-and-more in the future. Instead of 1-month timer, Anki might show you the card again within 2-weeks.
Where Anki fits in language learning
Anki was originally developed to help its original programmer learn Japanese. Its not an end-all be-all app however. Anki is only a piece of any language-learner. You must also buy grammar / theory books, as well as write regularly in the new language... speaking and listening and more.
Nonetheless, "Anki" is your cudgel. A brute-force method to try to force vocabulary words into your brain through raw force. You'll likely never gain mastery of the words through Anki... but you can at least become a beginner and learn how to start reading. There's literally thousands, if not tens-of-thousands of words you must learn to become proficient in a language. And that's spelling, grammar usage (gender / der/das/die in German, or maybe conjugation rules and pluralization rules), definitions and more!!
In all cases, Anki can be used as a way to force this information into your brain, getting it ready so that those words can "begin to be learned" when you watch TV, listen to a foreign language podcast or hear those words in a song.
Yes, Anki isn't enough. But Anki is a great tool to get you started. And getting started is sometimes the hardest step for many people.
Remember: 1000 words is beginner level (near 1st grade level understanding), while 10,000 words is roughly high school level. If you wish to be seen as a competent adult in a new language, you must figure out a system to reach those 10,000+ words known. 10,000 words sounds like a lot in isolation... especially because true mastery of 10,000 words includes spelling, grammar (pluralization/conjugation/gender), meaning, and pronunciation. But think about it: 10,000 words is merely 14 words per day for 2-years. Plenty of people have used Anki to jumpstart that kind of long-term forced-learning of words.
That said, I do think it'd make a pretty cool app to be able to say 'I know this and this language, generate a text in another language that leans towards words adapted from either'. Probably an LLM kinda task (with the associated downsides), but I'd be curious what other approaches you might have in mind.