Tools for use in Found CAT
The project aims to take the functionality of three platforms and combine them in one open source tool to help learners improve their language skills by translating content as a community.
The main part of Found CAT is largely based on Duolingo Immersion, which unfortunately is no longer available online. A comment thread about this can be found here:
Tools previously offered by Duolingo
Peer grading - score points, badges, levels, all of which are the result of peer reviewed point-scoring.
A glossary of words, phrases and terms (mouse-over)
Machine translation (Duobot)
A discussion forum
Here is a useful guide to using Duolingo Immersion: http://duolingo.wikia.com/wiki/Immersion_Navigation_Guide_(Unofficial)
2. CAT tools
Computer-Aided Translation (CAT) tools make use of Translation Memories (TM) and Term Bases (TB). Both TM and TB can be exported/imported in open exchange formats to and from most CAT tools. Basically, the more comprehensive they are (in terms of matched sentences and glossary terms), the better they function as tools.
In addition, some CAT tools make use of machine translation (MT), often conecting to Google Translate, or Bing Translator. Duolingo used its own bot (Duobot).
An overview of CAT tools: https://en.wikipedia.org/wiki/Computer-assisted_translation
Trados (market leader)
The open source CAT tools are not as well developed or as functional as the leading propriety ones. Memsource offers tools for agencies to manage translators and is simple to set up and use.
Here's a comparison of CAT tools: https://en.wikipedia.org/wiki/Comparison_of_computer-assisted_translation_tools
3. LMS tools
Learning Management Systems such as Moodle can be used for managing registrations, grading, forums etc.
One approach would be to develop a Moodle plug-in, based on an open source CAT tool such as OmegaT with all the functionality of Duolingo Immersion.
The final element is the development of an online tool for sharing presentations whereby peer review is implemented. This is a separate module, which we should focus on later.