Learning with Texts - Fork
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Learn foreign languages with texts
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Learning with Texts (LWT) is a tool for language learning by reading. It is a self-hosted web application.
You feel that you won't learn much by translating dumb sentences or using grammar books? Learning With Texts offers you the possibility to learn by reading texts in your target language. Concept: when you don't know a word in a text, just click it. We show you the translation, and you will have regular tests to remember it. Ready to go?
[!IMPORTANT]
THIS IS A THIRD PARTY VERSION. This version is not the
official one, and brings many improvements and new features. It is quicker, has smaller database size, and is open for contributions. The official version is on source forge
[!NOTE]
HugoFara: I don't plan to continue developping LWT on a regular basis. While I may keep maintaining for fun, I recommend jzohrab/lute-v3 as the main target for development effort in the LWT software family.
As LWT is self-hosted, you will need a server, which can be your computer. You can either use Docker (recommended), or install it on your machine.
Install Docker (if not already done).
./INSTALL.sh
. You may need to run chmod +x ./INSTALL.sh
first.connect.inc.php
with an existing database user. Everything is explained at docs/info.html.And you are ready to go!
LWT is a language learning web application. To learn a language, you need to practice, and we guide you in reading exercises.
First copy/paste any text you want to read. It can be raw text or an RSS feed.
Then, we parse the text. Unknown words will be displayed with different colors, just click them to see it in a dictionary.
Read as much as you want!
To make sure you memorize new words, you can take review exercises.
The difference with popular remembering software like Anki is that we keep track of the context to help you. By the way, we also ship an Anki exporter.
Full features list: docs/features.md
Features included from the official LWT software:
Full new features list: docs/newfeatures.md
Features that were added by the community:
Complete explanation: docs/contribute.md
To contribute, you need to clone or fork this repository, and Composer. The composer package is at hugofara/lwt.
Run git clone https://github.com/HugoFara/lwt
Next, got to the lwt folder and use composer install --dev
.
In short:
See also: docs/links.md
Under unlicense, view UNLICENSE.md, please look at http://unlicense.org/.
Let's learn new languages!