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Azhagi (Tamil: அழகி) is a freeware transliteration tool, which enables its users to type in a number of regional Indian languages, including Tamil, Hindi, and others, using an English keyboard. In 2002, The Hindu dubbed Azhagi as a tool that "stand[s] out" among various similar software "emerg[ing] nearly every other day". [1]
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.
Free software portal; Project Anuvaad is an open-source Document Translation platform to translate documents in Indic languages at scale. Anuvaad provides editing capabilities with maker-checker flow along with plug & play NMT models.
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.
- 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.
Reverso's suite of online linguistic services has over 96 million users, and comprises various types of language web apps and tools for translation and language learning. [11] Its tools support many languages, including Arabic, Chinese, English, French, Hebrew, Spanish, Italian, Turkish, Ukrainian and Russian.
The first version of Déjà Vu was published in 1993 and used the Microsoft Word interface. In 1996, this approach was abandoned, and the software was given its own program interface. In 2004, the founder Emilio Benito died [2] and his son, Daniel Benito, Head of R&D and Déjà Vu co-creator, continued running the company. Beginning in March ...
GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. [2] GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [ 2 ]