Open Source Python Computer Aided Translation (CAT) Software

Tools for localization: - Pootle: web based translation management system. - Virtaal: Computer Aided Translation (CAT) tool. - Translate Toolkit: QA, format conversion and support (PO, Java .properties, OpenOffice, Mozilla, XLIFF, TMX, TBX, CSV, Qt .ts).

GUI for the translate-shell, aims to be easy to use translator and a helpful tool for learning new languages. Most tools do a one way translation from source to target language, do to the reverse involves choosing the source and target languages again. This tool can do a 2 way translation accompanied by speech output of the target language text. Hence it can prove to be an indispensable aid when learning new languages

Tmx2text provides a simple interface to extract text data from tmx translation memories. It is written in Python (requires Python3 or higher) and uses PyQt (Qt 4) and is released under the GPL. Although it was created for Linux it should work on other platforms where Python3 and PyQt4 are installed.

Eugraphios is a free, portable desktop Computer-Assisted Translation (CAT) tool designed for freelancers. Whether you're translating documents, websites, or software, Eugraphios is designed to meet your needs and exceed your expectations. With a focus on intuitive design and user-friendly interfaces, Eugraphios aims to eliminate the complexity that often hinders professionals and beginners in the translation field. By providing a seamless and enjoyable experience, this tool empowers users to focus on their core work — delivering high-quality translations — without getting bogged down by technical difficulties.

A free and open-source computer-assisted translation tool built with Django/Python and Electronjs/Nodejs. For the relevant repositories, please see https://github.com/kaplanPRO kaplanpy currently handles the following doctypes: • .docx • .odp • .ods • .odt • .txt • .xliff (very limited coverage) • .po

This program currently allows for input of vocabulary an generation of random English sentences from semi-random data.