Learning with Texts (LWT) is a tool for language learning by reading. It is a self-hosted web application.
THIS IS A THIRD PARTY VERSION. This version is not the official one, and brings many improvements and new featuress. It is quicker, has smaller databse size, and is open for contributions. The official version is on source forge
Please see docs/info.html for detailed instructions. As it is self-hosted, you will need a server, which can be your computer.
- Install Composer if you don't have it.
- If you installed composer globally
- Run
composer create-project hugofara/lwt.
- Run
- If you installed composer locally
- Got to the folder where composer.phar is located
- Run
php composer.phar create-project hugofara/lwt
- Got to the newly created
lwt/folder. - Create
connect.inc.phpwith an existing database user (read docs/info.html) for the tutorial.
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 exercices.
First copy/paste any text you want to read. It can be raw text or an RSS feed.
Then, we parse the text. Unkown 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.
- Support for many languages
- Text parsing for roman languages, right-to-left, and East-Asian ideographic systems
- Translate words on-the-fly
- Add an audio track and read it online
- Practice words you don't remember
- Statistics to record your progress
See the full list: newfeatures.md
- Automatically import texts from RSS feeds
- Support for different themes
- Display translations of terms with status(es) in the reading frame
- Multiwords selection (click and hold on a word → move to another word → release mouse button)
- Key bindings work when you hover over a word
- Bulk translate new words in the reading frame
- Text to speech support (only words)
- Optional "ignore all" button in read texts
- New key bindings in the reading frame:
- T (translate sentence),
- P (pronounce term),
- G (edit term with Google Translate)
- Selecting terms according to a text tag
- Two database backup modes (new or old structure)
- Support for text to speech with no provided audio.
- Database improvements (db size is much smaller now)
- Longer (>9) expressions can now be saved (up to 250 characters)
- Save text/audio position in the reading frame* Google api (use 'ggl.php' instead of '*http://translate.google.com' for Google Translate)
- Improved Search/Query for Words/Texts
- Term import with more options (i.e.: combine translations, multiple tag import)
- Support for MeCab for Japanese word-by-word automatic translation.
- You can include video files from popular video platforms.
- Code documentation.
- Code is well organised, making debugging and contribution easier.
- Server caching improved.
To contribute, you need to clone or fork this repository.
Run git clone https://github.com/HugoFara/lwt
Next, got to the lwt folder and use composer install --dev.
In short:
git clone https://github.com/HugoFara/lwt
cd lwt
composer install --dev- The stable branch is master. Last commit on this branch is considered to be bug-free.
- The dev branch is for unstable versions.
- The official branch is for the official LWT Releases. Any other branch if considered under development.
- General documentation at docs/info.html.
- Please find more help at docs/index.html.
- You can also contact the community by GitHub.
LWT is written for web, but you have many choices if you want a standalone installation:
- LingL is a wonderful alternative written in Python, by gustavklopp.
- FLTR ◆ Foreign Language Text Reader, a Java clone, by the same author as LWT (lang-learn-guy)
Under unlicense, view UNLICENSE.md, please refer to [http://unlicense.org/].
Let's learn new languages!