THE #1 LANGUAGE LEARNING FREEWARE ON SOURCEFORGE WITH ~400 DOWNLOADS PER MONTH
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 of the ORIGINAL LWT software. Other download URLs or web services may offer a not up-to-date or modified LWT!
Features
- 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 or MariaDB), recommended: XAMPP (https://www.apachefriends.org/index.html - Windows), MAMP (https://www.mamp.info - Mac), 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
- HAPPY LANGUAGE LEARNING!
Categories
LanguagesLicense
Public DomainFollow LWT ◆ Learning with Texts
Other Useful Business Software
Rate This Project
Login To Rate This Project
User Reviews
-
Truly an awesome project!
-
Great tool if you want to learn / work with a foreign language. I use it several days per week, and, as it is a quite versatile tool, this allows me to easily adapt LWT to different languages I use, to any of my needs or texts. I hardly recommend you to make a try if you want to learn languages by reading/discovering texts. The road map to install it is quite easy to follow and the "discussion" forum gave me good advises to use it for Korean. It is a good additional tool to Lingq (I use both) and I complement it with FLTR as I prefer the printed "look" that FLTR gives (but this a question of taste).
-
Best language learning tool available.
-
Very helpful! Open source so if you want to change/improve/add/remove something you can do it! Thank you!!