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  2. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    Google Translate is a web-based free-to-use translation service developed by Google in April 2006. [ 11] 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. [ 11] The input text had to be translated into English first ...

  3. Google Neural Machine Translation - Wikipedia

    en.wikipedia.org/wiki/Google_Neural_Machine...

    The new translation engine was first enabled for eight languages: to and from English and French, German, Spanish, Portuguese, Chinese, Japanese, Korean and Turkish in November 2016. [24] In March 2017, three additional languages were enabled: Russian, Hindi and Vietnamese along with Thai for which support was added later.

  4. Japanese Wikipedia - Wikipedia

    en.wikipedia.org/wiki/Japanese_Wikipedia

    View a machine-translated version of the Japanese article. Machine translation, like DeepL or Google Translate, is a useful starting point for translations, but translators must revise errors as necessary and confirm that the translation is accurate, rather than simply copy-pasting machine-translated text into the English Wikipedia.

  5. Machine translation - Wikipedia

    en.wikipedia.org/wiki/Machine_translation

    More innovations during this time included MOSES, the open-source statistical MT engine (2007), a text/SMS translation service for mobiles in Japan (2008), and a mobile phone with built-in speech-to-speech translation functionality for English, Japanese and Chinese (2009). In 2012, Google announced that Google Translate translates roughly ...

  6. Hanakotoba - Wikipedia

    en.wikipedia.org/wiki/Hanakotoba

    Hanakotoba (花言葉) is the Japanese form of the language of flowers. The language was meant to convey emotion and communicate directly to the recipient or viewer without needing the use of words. The language was meant to convey emotion and communicate directly to the recipient or viewer without needing the use of words.

  7. Comparison of machine translation applications - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_machine...

    Languages features comparison. The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.

  8. Wikipedia:Google Translate - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Google_Translate

    The accuracy of Google Translate continues to improve, and in many cases approaches the accuracy of human translation. Use of non-English sources can help counter systemic bias on Wikipedia, which skews to Anglocentric and Eurocentric perspectives. Cons. Accuracy may not be sufficient for all uses, and human translation is still more accurate.

  9. 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. It initially offered translations between seven European languages and has since gradually expanded to support 33 languages.

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