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The toolkit was originally developed as the mozpotools by David Fraser for Translate.org.za. Translate.org.za had focused on translating KDE which used Gettext PO files for localization. With an internal change to focus on end-user, cross-platform, OSS software, the organisation decided to localize the Mozilla Suite .
OmegaT is a computer-assisted translation tool written in the Java programming language.It is free software originally developed by Keith Godfrey in 2000, and is currently developed by a team led by Aaron Madlon-Kay.
OmegaT is another translation tool that can translate PO files. It is written in Java so it is available for multiple platforms (including Linux and Windows). It can be downloaded from SourceForge. GNU Gettext (Linux/Unix) used for the GNU Translation Project. Gettext also provides msgmerge that makes merging translations easy.
openTMS is a free and open-source translation memory system based entirely on open-source standards. The system relies heavily on XLIFF, Translation Memory eXchange (TMX), Termbase Exchange format (TBX) and accompanying standards to ensure a free and unencumbered exchange of translation and localization data. openTMS implements a standard translation workflow, but features a very fine-grained ...
It is a tool used for translation and conversion of currencies, measurements and time, and for obtaining other contextual information. The program also uses a text-to-speech agent, so users hear the proper pronunciation of words and text. Babylon has developed 36 English-based proprietary dictionaries in 21 languages.
- Software Development - JavaScript - JSON - Java Properties - PHP Arrays - PO (Portable Objects) - RC (Windows C/C++ Resources) - ResX (Windows .NET Resources) - TS (Qt Linguist translation source) Open API: Yes Has a command line interface for using main features in batch mode.
A number of computer-assisted translation software and websites exists for various platforms and access types. According to a 2006 survey undertaken by Imperial College of 874 translation professionals from 54 countries, primary tool usage was reported as follows: Trados (35%), Wordfast (17%), Déjà Vu (16%), SDL Trados 2006 (15%), SDLX (4%), STAR Transit [fr; sv] (3%), OmegaT (3%), others (7%).
The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.