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The charts below show the way in which the International Phonetic Alphabet (IPA) represents Mongolian language pronunciations in Wikipedia articles. The dialect used in this chart is Khalkha Mongolian. For a guide to adding IPA characters to Wikipedia articles, see Template:IPA and Wikipedia:Manual of Style/Pronunciation § Entering IPA characters.
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 ...
eSpeak is a free and open-source, cross-platform, compact, software speech synthesizer.It uses a formant synthesis method, providing many languages in a relatively small file size. eSpeakNG (Next Generation) is a continuation of the original developer's project with more feedback from native speakers.
While there are different dialects of the Mongolian language as spoken by different subgroups of the Mongols (such as Chahars, Khorchin, and Kharchin) in the Inner Mongolia Autonomous Region of China, there is a standardized Mongolian dialect in the region, including a standard written language and standard pronunciation, as opposed to the standard language of the state of Mongolia.
Mongolian is the official national language of Mongolia, where it is spoken (but not always written) by nearly 3.6 million people (2014 estimate), [16] and the official provincial language (both spoken and written forms) of Inner Mongolia, where there are at least 4.1 million ethnic Mongols. [17]
The Galik script (Mongolian: Али-гали үсэг, Ali-gali üseg) is an extension to the traditional Mongolian script. It was created in 1587 by the translator and scholar Ayuush Güüsh ( Mongolian : Аюуш гүүш ), inspired by the third Dalai Lama , Sonam Gyatso .
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. The result is then rearranged and adapted to approach grammatically based human language. [1]
Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2]It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English. [1]