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LWT ◆ Learning with Texts download for Linux

Free download LWT ◆ Learning with Texts Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named LWT ◆ Learning with Texts whose latest release can be downloaded as learning_with_texts_2_0_3_complete.zip. It can be run online in the free hosting provider OnWorks for workstations.

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LWT ◆ Learning with Texts



Learning with Texts (LWT) is a versatile tool for Language Learning - inspired by Stephen Krashen's principles in Second Language Acquisition, Steve Kaufmann's LingQ system, ideas from Khatzumoto (AJATT = "All Japanese All The Time") and the Vera F. Birkenbihl approach to language learning. Read & listen, save & test words in context!

READ MORE: https://learning-with-texts.sourceforge.io

PLEASE NOTE: THIS website - managed by the developer - is the ONE and ONLY source for the ORIGINAL LWT software. Other download URLs or web services may offer a not up-to-date or modified LWT!


  • 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 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" - see https://tinyurl.com/zvfxhdyb - 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. Motivation: Annotated texts (as interlinear text) have been used for language learning for a long time. One example are the word-by-word translations in the Assimil courses. The German Vera F. Birkenbihl proposes the creation of interlinear word-by-word or hyperliteral translations (she named this creation "decoding") in foreign language learning. See: "The Birkenbihl-Approach to Language Learning", Link: http://tinyurl.com/birkenbihl-method
  • New since Version 1.5.3: Multiple Table Sets / Multi User Setup.
  • 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/MariaDB), e.g. EasyPHP DevServer (https://www.easyphp.org/easyphp-devserver.php - Windows), XAMPP (https://www.apachefriends.org/index.html - Windows, Mac, Linux), WampServer (https://www.wampserver.com/en/ - Windows), MAMP (https://www.mamp.info - Mac, Windows), LAMP-Server (https://tinyurl.com/lampserver - Linux).
  • TEST IT: https://learning-with-texts.sourceforge.io/testdb/index.php (may be slow)
  • READ MORE: https://learning-with-texts.sourceforge.io


End Users/Desktop

User interface


Programming Language

PHP, JavaScript

Database Environment




This is an application that can also be fetched from https://sourceforge.net/projects/learning-with-texts/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.

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