Learning with Texts (LWT) is a tool for Language Learning, inspired by Stephen Krashen's principles in Second Language Acquisition, Steve Kaufmann's LingQ System and ideas from Khatzumoto (AJATT). Read & listen, save & test words in context!
- Learning with Texts (LWT) is a tool for Language Learning, inspired by Stephen Krashen's principles in Second Language Acquisition, Steve Kaufmann's LingQ System, and ideas from Khatzumoto, published at "AJATT - All Japanese All The Time".
- You define languages you want to learn.
- You define the web dictionaries you want to use.
- You define how sentences and words in the language will be split up.
- You upload texts, and they are automatically split into sentences and words! Later re-parsing is possible.
- Optional: Assign the URL of an mp3 audio file of the text (Dropbox, local server, ...) in order to listen while reading the text.
- You read the text while listening to the audio, and you see immediately the status of every word (unknown, learning, learned, well-known, ignored).
- You click on words, and you use the external dictionaries to find out their meanings.
- You save words or expressions (2..9 words) with optional romanization (for asiatic languages), translations and example sentence, you change its status, you edit them whenever needed (like in LingQ).
- Use tags to categorize your terms and texts.
- Test your understanding of words and expressions within or without sentence context.
- MCD (Massive-Context Cloze Deletion) testing, as proposed by Khatzumoto @ AJATT, built in!
- See your progress on the statistics page.
- You may export the words and expressions and use them in Anki or other programs.
- You may upload words and expressions into LWT (from LingQ or other sources, CSV/TSV) - they are immediately available in all texts!
- New since Version 1.5.0: Create and edit an improved annotated text version (as interlinear text) for online or offline learning.
- New since Version 1.5.3: Multiple Table Sets / Multi User Setup.
- New since Version 1.5.5: LWT - WordPress integration & user authentication
- The application is 100 % free, open source, and in the Public Domain. Do with it what you like!
- Prerequisites: a local web server (Apache, PHP, MySQL), e.g. EasyPHP (Win), or MAMP (Mac), or a LAMP-Server (Linux)..
- LWT runs great on an iPad, etc., too!
- Enjoy your language learning and reading of texts in foreign languages!
- TEST LWT.... (Don't use for productive work!)
- Go to http://lwt.sourceforge.net/testdb ... UID=lwt, PWD=lwt
This is an amazing project, a fascinating tool for anyone learning languages, but especially for those doing so on their own. Not only does it help you improve your vocabulary, it allows you to have an entire new perspetive on your own learning process. The statistics screen is impressive. I can't say anything about the support because I've never needed any, as it has been working flawlessly since the moment I installed it. I can only thank the developers for this brilliant piece of software.
Been using LWT for a couple of years now and immensely grateful to the coder for all the work he has put into it. The text import works smoothly, never had any issues reading through and creating terms from texts, and the ability to export terms to Anki is fantastic.
it's really a nice and effective application that will help you to improve your language learning process, and it's free.
Thank you so much for this amazing piece of software. It's really taken my language learning to a new level, being able to find news articles and such that actually interest me to learn from, rather than the boring texts usually found in textbooks. The support is really great too, and for that, another thank you!
A great piece of software.Thanks for all the effort you've put into this, and for making it available in this way. The mechanism for adding word meanings and having them instantly available for EVERY occurrence of a word is brilliant.The ability to add in audio for the texts, plus the way it also enables the data to be shared and used with Anki (a SRS system) as well makes it extremely useful for language learning.