Table Of Contents
Latest update [menu]
- Added Spanish to English and Russian to English options
- We can now use GPT to generate mnemonics
- Added phrases and words
- Updated dependencies
- Updated intro to explain GPT integration
Description [menu]
Litany is a language learning app designed to teach you how to learn a language fast. It merges two scientifically proven methods for language learning: spaced repetition and i + 1 sentence mining.
The app itself is based on Anki. I really liked Anki, but the shared decks for it lacked the curatedness seen in many other more traditional language apps such as Duolingo. Litany is my attempt to combine the firehose of information you get from an app like Anki with the curated selection you see in other apps. And it does this using intelligent algorithms to sort vast amounts of pretranslated phrases.
Not only does this make a system that feels natural and handcrafted, but it also means that the sentences gradually increase in difficulty. This makes the sentences 'i + 1 sentences'. The name comes from the scientific optimal input hypothesis by Steve Krashen which states that in order to learn a new language the input should be slightly above the learner's current level. In other words they should be i + 1.
Many systems that attempt to teach you i + 1 sentences (called i + 1 sentence mining) have a hard time doing this as it's difficult to piece together a sentence where all but one or two of the words have been seen before. This is not a problem in Litany because it uses algorithms to sort thousands of phrases to deliver the ones that are closest to being i + 1.
This is combined with a powerful spaced repetition system (SRS). Spaced repetition is a technique of using flashcards combined with an intelligent scheduling system that mimics the brain's natural forgetting curve. Most SRS's work on the card level but Litany is smart enough to understand that each card is a series of words. This means we can shorten review times and cut down on the problem where you're just memorizing the card instead of memorizing the language like in many other SRS's.
This is why I believe Litany is the scientifically proven best way to learn a language. And with improvements to the algorithm it is just going to keep getting better.
Supported languages:
- Spanish
- French
- German
- Chinese (Mandarin)
- Finnish
- Italian
- Ukrainian
- Russian
- Swedish
- Polish
- Portuguese (Brazilian)
- Norwegian (Bokmål)
- Icelandic
- Danish
- Dutch/Flemish
Privacy Policy: https://impure.github.io/Litany-Privacy-Policy/
Screenshots generated with screenshots.pro
How to install Litany - Language Learning SRS APK for Android [menu]
Download Litany - Language Learning SRS APK file (com.amorfatite.litany_164_20478543.zip) from SameAPK.com, then follow these steps:
Update Phone Settings
- Go to your phone Settings page
- Tap Security or Applications (varies with device)
- Check the Unknown Sources box
- Confirm with OK
Go to Downloads
- Open Downloads on your device by going to My Files or Files
- Download Split APKs Installer (SAI)
- Download and unzip file you already downloaded (com.amorfatite.litany_164_20478543.zip)
- Open Split APKs Installer and follow steps on this app.
- Tap Install when prompted, the APK file you downloaded will be installed on your device.
How to install Litany - Language Learning SRS APK on Windows 7/8/10 or MAC PC? [menu]
Download Litany - Language Learning SRS APK file(com.amorfatite.litany_164_20478543.zip) from SameAPK.com to your PC (ex: /Users/xxx/Downloads/(com.amorfatite.litany_164_20478543.zip)), then follow these steps:
Using Emulator:
- Download And Install one Emulator Softwares (Ex: Bluestacks, GenyMotion, NoxPlayer)
- Download and unzip file com.amorfatite.litany_164_20478543.zip.
- Using ADB or Split APKs Installer same as install for Android.
Litany - Language Learning SRS APK Pros & Cons [menu]
Pros
- This app is safe, it's not require high risk permissions
- Compatible with 64-bit device (some android device and current Bluestacks)
Cons
- No best performance On PC (Windows, MAC) (because it's not exists X86 variant)
