HN

Comments (41)

• Zigurd
  I once ran an inadvertent experiment by installing Austrumi Linux, but not realizing that the default language is Latgallian. I'm fluent in Latvian, but I wondered if something had gone wrong with my brain. I could understand most of the words I was looking at, but more than half of the sentences I read were baffling.
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  buzer
  This ignores the fact that you can often figure out the meaning of the line from context even if you don't know the meaning of each word.
• eqvinox
  Err… it's not particularly good methodology to just consider words for Japanese. While it's true that a lot of kanji share pronunciations (and you thus can't identify them from hearing them on their own) you can still get at some compounds from context and "knowing 2 halves". (Kanji are quite frequently used in groups of 2 to form words, and a lot have only one reading when used in this manner. Personally speaking, I really need some context to get anywhere though.)
• ben_w
  Sounds about right. Similar experience learning German when I moved to Berlin from the UK (though less extreme, felt like 85% of words was 50% of sentences).
• joshdavham
  Reminds me of an analysis I did a while back: https://news.ycombinator.com/item?id=44349332I didn’t include it in my analysis, but I’ve been thinking about “sentence coverage” vs “word coverage” for a number of years now. In an extreme case, you could imagine a transcript with only i+1/1T sentences and you’d be left with totally incomprehensible input.
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  dvh
  > kochira wa yakusoku no houshuu desuYou blurred yakusoku, everybody knows that, but houshuu is much rarer word, should have blurred that
• ethanj8011
  "How we did it" (Claude and him).Some bad writing examples I liked.> By the third pause to look up a word, your tea has gone cold.And hear I thought that water had one of the highest specific heat capacities> Both numbers are trueWhat is both numbers? Presumably the two percentages, (based on the title, but there is no framing right away that these are the key numbers), and proximate to the line are several unrounded numbers.> is a flashcard app that teaches Japanese from anime. Each card uses a line where you know everything except the one new word, which is why we started counting lines. The figures above count each word once, however many meanings it has. That wouldn't work in the app: knowing あれ as "that" doesn't help when someone says あれ？ (huh?). These are two separate cards. It doesn't catch every such word yet, we're working on it. During early access it offers one show, Hunter x Hunter.Highly advise cutting down your marketing pitch for your product, it's just too long to grab people.
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  zaik
  Rare words usually carry the most information in any given sentence.
• numpad0
  One thing that seem to be improving Japanese literacy across the world is Inmu gay porn meme contents. I believe it hasn't reached the US, but it is becoming eerily well known in East/Southeast Asian countries, including mainland China. It uses tiny set of vocabulary in highly repetitive manner, a la kid's picture books, but in the way relatable and addicting to social media users rather than e.g. portraying a day in the life of a cute crayon drawn caterpillar.IMO, what that tells us is that a completely dumb repetition of small set of simple concepts to just set up the pathway can be an effective means to kickstart language acquisition process. Most language learning materials attempt to establish a compact set of rules to be expanded with a long tail of modular add-ons, even many that aims to create an alternative and less stressful approaches like Duolingo. The Inmu dictionary has less than 500 known expression, all unusable in regular communications and inappropriate in most settings, and the way it is used is simplistic, childish, disrespectful, and dumb. And I think that might be how "start with picture books" advice look like if rebuilt from first principles.
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  td521534f12
  I watched Lain with the subtitles on and I still won't claim I understood all the lines.I'm pretty sure many of the lines are _not understandable by intent_, even."Present day... present time... ahahaha!"
• rKarpinski
  Nani!?
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  GodelNumbering
  I spam Yare Yare to the extent that my friends had it on my birthday cake
• dumberquestions
  That's higher than what I would've expected.
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  lovich
  Full metal alchemist, the original not Brotherhood, was the pivot point in my opinion where dubs were superior to subs.The main characters were all well voice acted while I admit background characters were poorly voice acted.However I say it’s the pivot point because the in top of the main characters having good voice actors the translation included cultural context I would have never picked up on my own.For instance it took me nearly a decade later of occasionally watching subs to find out that “ore” was rude when male characters used it to refer to themselves because I didn’t have the cultural context to understand.If I’m willing to become fully fluent in a language and its culture dubs are superior, but I just don’t have the time for most foreign media.
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  gustavus
  My first anime was NGE. I knew all the words and still understand nothing.
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  watwut
  > Coverage is the number most learning sites quote.This person is visiting different learning sites then I do.Also, I dont need to understand every word in sentence to understand it. Especially when coupled with visual show.
• 2TOUCH
  [flagged]
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  linguae
  This reminds me of how I learned about Zipf's law. 19 years ago, I spent the summer after my sophomore year in a research lab at UC Santa Cruz as part of an NSF-funded summer research program for undergrads. My project that summer was to investigate index design for the Ceph distributed file system in order to enable faster file search. This was a hot topic at the time, especially with Spotlight being introduced to Mac OS X Tiger, and we wanted to see how to enable similar functionality for a distributed file system. I learned about Zipf's law, which states that there is a power law distribution of word frequencies in many natural languages. I remember downloading the Project Gutenberg corpus and writing a Python script where I stemmed the words and computed the frequencies of the stemmed words. The resulting distribution confirmed Zipf's law.