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  2. Naver Papago - Wikipedia

    en.wikipedia.org/wiki/Naver_Papago

    Naver Papago (Korean: 네이버 파파고), shortened to Papago and stylized as papago, is a multilingual machine translation cloud service provided by Naver Corporation. The name Papago comes from the Esperanto word for parrot , Esperanto being a constructed language.

  3. Speech translation - Wikipedia

    en.wikipedia.org/wiki/Speech_translation

    Speech translation is the process by which conversational ... Korean, and German. [3] [4] Features. Apart from the problems involved in the text translation, it also ...

  4. Microsoft Translator - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Translator

    Speech translation: Microsoft Translator is integrated into Microsoft Speech services which is an end-to-end REST based API that can be used to build applications, tools, or any solution requiring multi-languages speech translation. Speech to speech translation is available to or from any of the conversation languages, and speech to text ...

  5. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    Google Translate produces approximations across languages of multiple forms of text and media, including text, speech, websites, or text on display in still or live video images. [ 23 ] [ 24 ] For some languages, Google Translate can synthesize speech from text, [ 25 ] and in certain pairs it is possible to highlight specific corresponding ...

  6. Korean language - Wikipedia

    en.wikipedia.org/wiki/Korean_language

    Korean is the native language for about 81 million people, mostly of Korean descent. [a] [1] [3] It is the national language of both North Korea and South Korea.In the north, the language is known as Chosŏnŏ (North Korean: 조선어) and in the south, its known as Hangugeo (South Korean: 한국어).

  7. Machine translation - Wikipedia

    en.wikipedia.org/wiki/Machine_translation

    Machine translation is use of computational techniques to translate text or speech from one language to another, including the contextual, idiomatic and pragmatic nuances of both languages. Early approaches were mostly rule-based or statistical. These methods have since been superseded by neural machine translation [1] and large language models ...

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