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amelo

15 karma · joined January 7, 2021

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amelo··on Show HN: Deckmill – affordable, high quality, language-learning flashcards
Hey NamPNQ,

Thanks for buying our decks! Each deck has 1000 cards, so each language has 3000 cards total across levels.

Perhaps you only downloaded the sample decks? Let us know if you have any further questions by dropping an email at support@deckmill.com.

amelo··on Show HN: Deckmill – affordable, high quality, language-learning flashcards
Thank you newsbinator! We definitely want to expand in this direction.
amelo··on Show HN: Deckmill – affordable, high quality, language-learning flashcards
Hi funcDropShadow, that's a good point. We really want to expand to other language pairs (e.g. German-Spanish). In fact we are also not native English speakers :)
amelo··on Show HN: Deckmill – affordable, high quality, language-learning flashcards
Hi James, thank you for your comment. It's great to hear you say that because it is exactly what we had in mind when we started the project -- we were also pretty tired of the subscription model in language learning apps :)
amelo··on Show HN: Deckmill – affordable, high quality, language-learning flashcards
Good catch -- the expected behavior is indeed for the page to scroll down to the appropriate sections of the landing page. Thanks for the bug report!
amelo··on Show HN: Deckmill – affordable, high quality, language-learning flashcards
Hey jchook,

Indeed, improving the deck samples' UI/UX is one of the next few items on our to-do list - there's plenty to improve on that front :)

Also thanks for your second suggestion!

amelo··on Show HN: Deckmill – affordable, high quality, language-learning flashcards
Hi ngokevin! The Anki community is fantastic and there are some great decks out there. However, we found that the quality, format and even difficulty tend to vary wildly across decks. For example, many decks have low quality audio or don't include it at all; others have poor sentence selection, etc
amelo··on Show HN: Deckmill – affordable, high quality, language-learning flashcards
Hi spoonjim! In our experience it's important to train your ears to listen to native speakers as early as possible in the learning process. However, you are correct that listening to slow speaking is also very pedagogical -- this is exactly why we provide a 0.5x speed version of the audio, alongside the 1x (native-like) version.
amelo··on Show HN: Deckmill – affordable, high quality, language-learning flashcards
Hi David, thank you!

Indeed, using frequency alone will lead to a suboptimal set of sentences. Our approach was to choose sentences that increase smoothly in complexity, where we estimate complexity through a combination of criteria: frequency of vocab, tenses, number of clauses, etc.

amelo··on Show HN: Deckmill – affordable, high quality, language-learning flashcards
Hey Trias! Yes, our flashcards run on top of Anki, so they can be used completely offline - that was of our main intentions when making this product, as many apps require internet access.
amelo··on Show HN: Deckmill – affordable, high quality, language-learning flashcards
Hi Peretus, thank you for the kind words and for the feedback! Indeed, this is a great point. We'll fix it soon. Looking forward to your sign up :)
amelo··on Show HN: Deckmill – affordable, high quality, language-learning flashcards
Here are some examples of our flashcards for Spanish: https://deckmill.com/decks/es

A little of backstory about this project: my co-founder and I are big fans of Anki, which is an awesome flashcard software and a really effective tool for language learning.

However, it's hard to find quality decks online. There are some apps with good flashcards, but they tend to be expensive. You certainly can make your own, but that's really time consuming. That's why we decided to build Deckmill, a repository of high quality, but affordable flashcards.

For those are interested in the tech, this is how we did it: 1. Used a mix of ML + hand curation to select 3000 sentences from tatoeba.org (a massive dataset) 2. Then machine translation to translate the sentences 3. Then we had native speakers review the translations 4. Wavenet to generate audio 5. genanki to put together the cards