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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 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.
Davka Corporation is a software company specializing in applications related to Jewish history, customs and traditions and the Hebrew language. [1] [2] Founded in 1982, Davka is notable as the publisher of several early games for the Apple II computers including The Lion's Share (1983 video game) by Robert Aaron and The Philistine Ploy by Robert Aaron and Alan Rosenbaum.
This template is meant for Hebrew text with nikud and audio - basically it's a bigger and serif font (although those who don't have Hebrew fonts will see Microsoft Sans Serif). The second parameter allows you to link to an audio file. Use the link parameter to add [[Hebrew language|Hebrew]]: to the start. It is otherwise identical to {{Script ...
Babylon is a tool used for translation and conversion of currencies, measurements and time, and for obtaining other contextual information. Babylon has a patented [ specify ] OCR technology and a single-click activation that works in any Microsoft Windows application, such as Microsoft Word , Microsoft Outlook , Microsoft Excel , Internet ...
Hebrew, Aramaic, and Judeo-Arabic texts are provided under a free license in the original and in translation. The website also provides a tool for creating source sheets. [7] Sefaria is maintained by an eponymous non-profit organization [8] [9] which employs 18 engineers. [10]
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Google Translate's NMT system uses a large artificial neural network capable of deep learning. [1] [2] [3] By using millions of examples, GNMT improves the quality of translation, [2] using broader context to deduce the most relevant translation.