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The app is aimed at all citizens of India and offers hundreds of services including payment, registration, information search and application forms. [3] It is a component of the Digital India initiative, intending to make government services available to the general public online and around the clock.
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]
Azhagi is the first successful Tamil transliteration tool [6] which has many users throughout the world. Azhagi helps the user to create and edit contents in several Indian languages including Tamil, Hindi, Sanskrit, Telugu, Kannada, Malayalam, Marathi, Konkani, Gujarati, Bengali, Punjabi, Oriya and Assamese without having to know how to type in these languages.
Legal translation is the translation of language used in legal settings and for legal purposes. Legal translation may also imply that it is a specific type of translation only used in law, which is not always the case. As law is a culture-dependent subject field, legal translation is not necessarily linguistically transparent. Intransparency in ...
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 ...
The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.
Plus the one food he would never cook with.
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]