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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 ]
Text: نستعلیق in the font "Urdu Typesetting". Windows 8 was the first version of Microsoft Windows to have native Nastaliq support, through Microsoft's "Urdu Typesetting" font. [29] Text: نستعلیق in the font "Noto Nastaliq". Google has an open-source Nastaliq font called Noto Nastaliq Urdu. [30]
Amar Nastaleeq (Urdu: امر نستعلیق) is a Nastaliq style Embedded OpenType and TrueType Font which was lowest in size, created for web embedding on Urdu websites in 2013. The font was announced by Urdu poet Fahmida Riaz. [1] Jang Group of Newspapers has rendered this font from the developers. [citation needed]
Note that Hindi–Urdu transliteration schemes can be used for Punjabi as well, for Gurmukhi (Eastern Punjabi) to Shahmukhi (Western Punjabi) conversion, since Shahmukhi is a superset of the Urdu alphabet (with 2 extra consonants) and the Gurmukhi script can be easily converted to the Devanagari script.
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. The result is then rearranged and adapted to approach grammatically based human language. [1]
The content translation tool assists users in translating existing Wikipedia articles from one language to another. Users select an article in any language, then select another language, and the interface provides machine translation which the human user can then use as inspiration to make readable text in another language.
Generative language models are not trained on the translation task, let alone on a parallel dataset. Instead, they are trained on a language modeling objective, such as predicting the next word in a sequence drawn from a large dataset of text. This dataset can contain documents in many languages, but is in practice dominated by English text. [36]
Computer-assisted translation is a broad and imprecise term covering a range of tools. These can include: Translation memory tools (TM tools), consisting of a database of text segments in a source language and their translations in one or more target languages. [2]
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related to: translate whole document to urdu text language font generator youtubepdfsimpli.com has been visited by 1M+ users in the past month