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National Language Authority in Pakistan has been at the forefront in introducing Urdu Informatics as a tool for the standardisation of Urdu language. [1] Major steps in this respect include the development of Urdu keyboard and launching of software to automate translations between Urdu and English languages .
It provides on-demand and onsite language interpretation and document translation services worldwide for law enforcement, healthcare organizations, legal courts, schools, and businesses in over 240 languages. [1] LanguageLine claims to have more than 28,000 clients. [2] LanguageLine is the largest interpretation services provider in the world. [3]
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]
Microsoft Translator or Bing Translator is a multilingual machine translation cloud service provided by Microsoft.Microsoft Translator is a part of Microsoft Cognitive Services [1] and integrated across multiple consumer, developer, and enterprise products, including Bing, Microsoft Office, SharePoint, Microsoft Edge, Microsoft Lync, Yammer, Skype Translator, Visual Studio, and Microsoft ...
Computer-assisted translation (CAT), also called "computer-aided translation," "machine-aided human translation" (MAHT) and "interactive translation," is a form of translation wherein a human translator creates a target text with the assistance of a computer program. The machine supports a human translator.
Major providers of telephone interpretation in the United States include Language Line Services, Lionbridge, CyraCom International, Pacific Interpreters. As of 2022 Transperfect is the largest grossing language service provider in the United States, followed by Language Line Services, and Lionbridge who holds the third spot. As the demand grows ...
GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. [2] GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [2]
It is the most comprehensive, detailed and thick dictionary in the history of Urdu language. [ citation needed ] It is published by the Urdu Lughat Board, Karachi. 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 ...