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It is a tool used for translation and conversion of currencies, measurements and time, and for obtaining other contextual information. The program also uses a text-to-speech agent, so users hear the proper pronunciation of words and text. Babylon has developed 36 English-based proprietary dictionaries in 21 languages.
Bing Microsoft Translator (previously Live Search Translator, Windows Live Translator, and Bing Translator) [19] is a user-facing translation portal provided by Microsoft as part of its Bing services to translate texts or entire web pages into different languages. All translation pairs are powered by the Microsoft Translator, a neural machine ...
When creating a new (file-based) translation memory, Trados Studio creates a database file in which all translation units are stored. The translation memory also stores structural and context information to link all the different segments and their position in a document. This allows the tool to select the most relevant translation memory segment.
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]
DeepL Translator is a neural machine translation service that was launched in August 2017 and is owned by Cologne-based DeepL SE. The translating system was first developed within Linguee and launched as entity DeepL. It initially offered translations between seven European languages and has since gradually expanded to support 33 languages.
Skype Translator was built on developments in deep neural networks [3] [4] for speech recognition and Microsoft Translator's statistical machine translation [5] [6] technology. Users converse in their native languages, and the speech is translated from one language to the other in “near real-time”, [ 7 ] [ 8 ] with the output translation ...
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.
The Toolkit began in June 2009 with only one source language—English—and forty-seven target languages, but later support 345 source languages and 345 target languages for approximately 100,000 language pairs. [6] Google Translator Toolkit's user interface was available in eighty-five languages: [7]