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Reverso's suite of online linguistic services has over 96 million users, and comprises various types of language web apps and tools for translation and language learning. [11] Its tools support many languages, including Arabic, Chinese, English, French, Hebrew, Spanish, Italian, Turkish, Ukrainian and Russian.
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.
Image Translation: The portion of a photo in a gallery or the characters in a newly photographed picture is specified and translated into text. It is available in six languages: Korean , English , Japanese , Chinese , Vietnamese , and Thai .
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]
The internet service derived its name from the Babel fish, a fictional species in Douglas Adams's book and radio series The Hitchhiker's Guide to the Galaxy that could instantly translate languages. [5] In turn, the name of the fictional creature refers to the biblical account of the confusion of languages that arose in the city of Babel.
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 .
Microsoft continues to build out Bing Translator with a new language: Star Trek's Klingon. Now, users can translate between Klingon and the other 41 languages Bing Translator supports. In a ...
Learning a foreign language: Learning a foreign language can be made easier and less expensive using a mobile device equipped with real time machine translation. Statistics reveal that most college students own mobile phones and find that learning a foreign language via mobile phone proves to be cheaper than on a PC .
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