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Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface, a mobile app for Android and iOS, as well as an API that helps developers build browser extensions and software applications. [3]
Mahmoud Altarabin, assistant professor of translation and linguistics at Islamic University of Gaza, notes that while the machine translation of online translation platforms such as Almaany, Reverso Context, and Google Translate may be used to render translations of single phrases or words, those results should be edited to ensure that they ...
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.
The Arabic letter صٜ has not been used in a widespread manner for representing the Tamil letter ள (representing the sound ). Most historic sources use the letter ۻ for this Tamil letter as well as for the Tamil letter ழ (representing the sound ). For the Tamil letter க, representing the sound [k ~ g], the Arabic letter ك is used.
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Google Translator Toolkit was [1] an online computer-assisted translation tool (CAT)—a web application designed to permit translators to edit the translations that Google Translate automatically generated using its own and/or user-uploaded files of appropriate glossaries and translation memory.
Yehuda Alharizi – translator of Maimonides' Guide for the Perplexed and Arabic maqama poetry; Cabret – translator from Latin – end of 14th century; T. Carmi – translator of Shakespeare; Abraham bar Hiyya Ha-Nasi – translator of scientific works from Arabic into Hebrew (for further translation into Latin by Plato of Tivoli)
Previously, machine translation was based on "the meaning of the text" model: take any language, translate the words in the universal language of the senses, and then translate these meanings in the words of another language – and obtain the translated text. This model prevailed in the 1970s-1980s and automated in the 1990s.