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  2. Naver Papago - Wikipedia

    en.wikipedia.org/wiki/Naver_Papago

    Papago ended its trial phase and officially launched on July 19, 2017, with translation options for Korean, Japanese, Chinese, English, Spanish, and French. [2] It was only available as a smartphone app but it has since launched its own website and has expanded to other languages.

  3. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    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]

  4. Naver - Wikipedia

    en.wikipedia.org/wiki/Naver

    In July 2017, Naver launched Papago, which is an AI-based mobile translator that uses a large neural network technology named N2MT (Naver Neural Machine Translation). It can translate text and phrases in 15 different languages by analyzing context instead of statistical analysis. Papago app has so far garnered over 16 million downloads. [31]

  5. Naver Dictionary - Wikipedia

    en.wikipedia.org/wiki/Naver_Dictionary

    Naver Dictionary (Korean: 네이버 사전) is an online dictionary operated by the South Korean software company Naver. [1] It was first launched in 1999, alongside the Naver web portal. [ 2 ] [ 3 ]

  6. DeepL Translator - Wikipedia

    en.wikipedia.org/wiki/DeepL_Translator

    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 .

  7. Naver Corporation - Wikipedia

    en.wikipedia.org/wiki/Naver_Corporation

    It can translate text and phrases in 15 different languages (Korean, English, Japanese, Chinese (Simplified), Chinese (Traditional), Spanish, French, German, Russian, Portuguese, Italian, Vietnamese, Thai, Indonesian, Hindi) by analyzing context instead of statistical analysis. Papago app has so far garnered over 16 million downloads. [27]

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