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The Urdu Dictionary Board (Urdu: اردو لغت بورڈ, romanized: Urdu Lughat Board) is an academic and literary institution of Pakistan, administered by National History and Literary Heritage Division of the Ministry of Information & Broadcasting. Its objective is to edit and publish a comprehensive dictionary of the Urdu language.
This is a list of English-language words of Hindi and Urdu origin, two distinguished registers of the Hindustani language (Hindi-Urdu). Many of the Hindi and Urdu equivalents have originated from Sanskrit; see List of English words of Sanskrit origin.
The dictionary was edited by the honorary director general of the board Maulvi Abdul Haq who had already been working on an Urdu dictionary since the establishment of the Urdu Dictionary Board, Karachi, in 1958. [1] [2] [3] Urdu Lughat consists of 22 volumes. In 2019, the board prepared a short concise version of the dictionary in 2 volumes.
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]
Farhang-e-Asifiya (Urdu: فرہنگ آصفیہ, lit. 'The Dictionary of Asif') is an Urdu-to-Urdu dictionary compiled by Syed Ahmad Dehlvi. [1] It has more than 60,000 entries in four volumes. [2] It was first published in January 1901 by Rifah-e-Aam Press in Lahore, present-day Pakistan. [3] [4]
Compound verbs, a highly visible feature of Hindi–Urdu grammar, consist of a verbal stem plus a light verb. The light verb (also called "subsidiary", "explicator verb", and "vector" [ 55 ] ) loses its own independent meaning and instead "lends a certain shade of meaning" [ 56 ] to the main or stem verb, which "comprises the lexical core of ...
The system constructs the dictionary of single-word translations based on the analysis of millions of translated texts. In order to translate the text, the computer first compares it to a database of words. The computer then compares the text to the base language models, trying to determine the meaning of an expression in the context of the text.
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.