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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]
Papago ended its trial phase and officially launched on July 19, 2017, with translation options. It was only available as a smartphone app but it has since launched its own website and has expanded to other languages.
Part of a series on: Translation; Types; Legal; Literary; Bible; Quran; Kural; Linguistic validation; Medical; Regulatory; Technical; Interpretation; Cultural; Word ...
Google added a Hindi dictionary from Rajpal & Sons licensed via Oxford Dictionaries which also supported transliteration and translation to the service in April 2017. [ 19 ] In July 2017, the dictionary was made directly available by typing "dictionary" in Google Search and additional features such as a search box, autocomplete and search ...
One drawback of this software is that if mixed English–Hindi dictation is given, it can recognize Hindi words but can not recognize English words. Another variant of this software is Vachantar-Rajbhasha, which takes English sound as input, converts it to English text and then translates it to Hindi using MANTRA-Rajbhasha translation engine.
In 2013 it released Reverso Context, a bilingual dictionary tool based on big data and machine learning algorithms. [5] In 2016 Reverso acquired Fleex, a service for learning English via subtitled movies. Based on content from Netflix, Fleex has expanded to also include video content from YouTube, TED Talks, and custom video files. [6] [7] [8]
Translate is a translation app developed by Apple for their iOS and iPadOS devices. Introduced on June 22, 2020, it functions as a service for translating text sentences or speech between several languages and was officially released on September 16, 2020, along with iOS 14.
The English has two senses. It's necessary therefore to do research, maybe to the extent of a phone call to Australia. [36] The ideal deep approach would require the translation software to do all the research necessary for this kind of disambiguation on its own; but this would require a higher degree of AI than has yet been attained. A shallow ...