Search Results for "web based system"

...Compared with copying and pasting directly to the web version, the translation effect is greatly improved.

Kandeta is the translation management tool that finally makes sense. Whether you're a solo developer juggling multiple languages or part of a team coordinating global releases, Kandeta brings order to your translation process.

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

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).

Nalasys is a natural language system that allows users to specify instructions to the computer in natural language. By defining words with intrinsic data the system recognizes, a user will be able to program a system using his own words. For now the system can use several programmatic languages like SQL, Javascript, Groovy or JSP expression language. It also has a default language with no keywords where you can add words defined with objects in memory or from other languages.

This is a project aimed to create a most unified cross-language japanese dictionary out there. So far project includes: * xKanjiDic - eXtended Kanji Dictionary * xJDict - eXtended Japanese Dictionary (XML and others in developement)

TinyTM is a small but powerful open-source Translation Memory (TM). Easy to use and install and suitable for both individual users and multiple users and multi-language groups. Written in PL/SQL on Postgres

Build texts and documents bottom-up from building blocks using a language similar (and compatible with) that of GNU Make, in such a way that variants (e.g. translations) can be generated by overwriting parts of the text with minimal redundancy.