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The nuqta, and the phonological distinction it represents, is sometimes ignored in practice; e.g., क़िला qilā being simply spelled as किला kilā.In the text Dialect Accent Features for Establishing Speaker Identity, Manisha Kulshreshtha and Ramkumar Mathur write, "A few sounds, borrowed from the other languages like Persian and Arabic, are written with a dot (bindu or nuqtā).
These are usually handwritten on the paper containing the text. Symbols are interleaved in the text, while abbreviations may be placed in a margin with an arrow pointing to the problematic text. Different languages use different proofreading marks and sometimes publishers have their own in-house proofreading marks. [1]
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]
Commonly used quantities include lakh (one hundred thousand) and crore (ten million) – written as 1,00,000 and 1,00,00,000 respectively in some locales. [1] For example: 150,000 rupees is "1.5 lakh rupees" which can be written as "1,50,000 rupees", and 30,000,000 (thirty million) rupees is referred to as "3 crore rupees" which can be written ...
Like all the children of Eris (Strife), Ate is a personified abstraction, allegorizing the meaning of her name, and represents one of the many harms which might be thought to result from discord and strife. [3] The meaning of her name, the Greek word atē (ἄτη), is difficult to define. [4] Atē is a verbal noun of the verb aáō (ἀάω). [5]
In translation, a source text (ST) is a text written in a given source language which is to be, or has been, translated into another language, while a target text (TT) is a translated text written in the intended target language, which is the result of a translation from a given source text.
This is the pronunciation key for IPA transcriptions of Hindi and Urdu on Wikipedia. It provides a set of symbols to represent the pronunciation of Hindi and Urdu in Wikipedia articles, and example words that illustrate the sounds that correspond to them.
Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate.