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The generated translation utterance is sent to the speech synthesis module, which estimates the pronunciation and intonation matching the string of words based on a corpus of speech data in language B. Waveforms matching the text are selected from this database and the speech synthesis connects and outputs them.
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]
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 most extensively studied mode of multimedia translation, subtitling is the linguistic practice showing written text on a screen that conveys "a target language version of the source speech." [ 8 ] Consisting of many sub-types, the one most commonly used is interlinguistic subtitling, which is usually displayed in open captions . [ 7 ]
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. All translations are processed through the neural engine of the device ...
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An Arabic word may have a range of meanings depending on the context, making an accurate translation difficult. [292] Moreover, one of the biggest difficulties in understanding the Quran for those who do not know its language in the face of shifts in linguistic usage over the centuries is semantic translations (meanings) that include the ...
GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. [2] GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [2]