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Speech translation is the process by which conversational spoken phrases are instantly translated and spoken aloud in a second language. This differs from phrase translation, which is where the system only translates a fixed and finite set of phrases that have been manually entered into the system.
Voice-over translation is an audiovisual translation [1] technique in which, unlike in dubbing, actor voices are recorded over the original audio track which can be heard in the background. This method of translation is most often used in documentaries and news reports to translate words of foreign-language interviewees in countries where ...
Google Translate is a web-based free-to-use translation service developed by Google in April 2006. [12] It translates multiple forms of texts and media such as words, phrases and webpages. Originally, Google Translate was released as a statistical machine translation (SMT) service. [ 12 ]
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 ...
Skype Translator is a speech to speech translation application developed by Skype, which has operated as a division of Microsoft since 2018. [1] Skype Translator Preview has been publicly available since December 15, 2015. [2] Skype Translator is available as a standalone app and, as of October 2015, is integrated into the Skype for Windows ...
Using a voice recognition system and a database, a robotic voice will recite the translation in the desired language. [4] Google's stated aim is to translate the entire world's information. Roya Soleimani, a spokesperson for Google, said during a 2013 interview demonstrating the translation app on a smartphone, "You can have access to the world ...
Use of a "do-not-translate" list, which has the same end goal – transliteration as opposed to translation. [39] still relies on correct identification of named entities. A third approach is a class-based model. Named entities are replaced with a token to represent their "class"; "Ted" and "Erica" would both be replaced with "person" class token.
Google Translate's NMT system uses a large artificial neural network capable of deep learning. [1] [2] [3] By using millions of examples, GNMT improves the quality of translation, [2] using broader context to deduce the most relevant translation.