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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]
From the late 1980s, during glasnost, he cultivated an interest in the theory of modern Tajik culture, and he published copiously on the issues of the history and contemporary conditions of the Tajik language, literature, and culture during the independence period after 1991. [2] Among his main works is a Tajiki-Persian dictionary.
Tajik Cyrillic alphabet is of course based on Russian orthography, and similar to that of Uzbek language in neighboring Uzbekistan. Thus, the alphabets developed in Tajikistan for Shughni language, have been Cyrillic and Latin. In Afghanistan, Dari (Afghan Persian), with the well-established Persian script, is the literary language of the nation.
Tajik, [2] [a] Tajik Persian, Tajiki Persian, [b] also called Tajiki, is the variety of Persian spoken in Tajikistan and Uzbekistan by Tajiks. It is closely related to neighbouring Dari of Afghanistan with which it forms a continuum of mutually intelligible varieties of the Persian language .
in this китобро kitob-ro book хондам kh ondam read-I ин китобро хондам in kitob-ro kh ondam this book read-I "I read this book" китоб kitob book хондам kh ondam read-I китоб хондам kitob kh ondam book read-I "I read a book" Nouns may exhibit several suffixes. Of these suffixes, the plural marker is found first, followed by any possessive ...
Sarikoli is officially referred to as "Tajik" (Chinese: 塔吉克语, Tǎjíkèyǔ) in China. [5]However, it is distantly related to Tajik (a form of Persian) as spoken in Tajikistan because Sarikoli is an Eastern Iranian language, closely related to other Pamir languages largely spoken in the Badakhshan regions of Tajikistan and Afghanistan, whereas Persian is a Western Iranian language and ...
GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [2] With the large end-to-end framework, the system learns over time to create better, more natural translations. [1] GNMT attempts to translate whole sentences at a time, rather than just piece by piece. [1]
In addition to machine translation, there is also an accessible and complete English-Russian and Russian-English dictionary. [6] There is an app for devices based on the iOS software, [7] Windows Phone and Android. You can listen to the pronunciation of the translation and the original text using a text to speech converter built in.