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  2. Reykon - Wikipedia

    en.wikipedia.org/wiki/Reykon

    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. Do not translate text that appears unreliable or low-quality.

  3. Radar beacon - Wikipedia

    en.wikipedia.org/wiki/Radar_beacon

    Radar beacon. Racon signal as seen on a radar screen. This beacon receives using sidelobe suppression and transmits the letter "Q" in Morse code near Boston Harbor (Nahant) 17 January 1985. Radar beacon (short: racon) is – according to article 1.103 of the International Telecommunication Union's (ITU) ITU Radio Regulations (RR) [1 ...

  4. Comparison of machine translation applications - Wikipedia

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

    1.1.0. Yes. 300+. Competitive performance for Chinese translation tasks; statistical machine translation. Supports phrase-based, hierarchical phrase-based, and syntax-based (string-to-tree, tree-to-string, and tree-to-tree) models for research purposes. OpenLogos. Windows, Linux. GPL or paid initiative taker. No fee required.

  5. History of machine translation - Wikipedia

    en.wikipedia.org/wiki/History_of_machine_translation

    History of machine translation. Machine translation is a sub-field of computational linguistics that investigates the use of software to translate text or speech from one natural language to another. In the 1950s, machine translation became a reality in research, although references to the subject can be found as early as the 17th century.

  6. Wikipedia, the free encyclopedia

    en.wikipedia.org/wiki/Main_Page

    John Richard Clark Hall (1855–1931) was a British scholar of Old English, and a barrister. Hall's A Concise Anglo-Saxon Dictionary (pictured) became a widely used work upon its 1894 publication, and after multiple revisions remains in print. His 1901 prose translation of Beowulf was still the canonical introduction to the poem into the 1960s ...

  7. Google Neural Machine Translation - Wikipedia

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

    Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate.

  8. Microsoft Translator - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Translator

    Microsoft Translator is a multilingual machine translation cloud service provided by Microsoft.Microsoft Translator is a part of Microsoft Cognitive Services 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 Translator apps for Windows ...

  9. Optical character recognition - Wikipedia

    en.wikipedia.org/wiki/Optical_character_recognition

    Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and ...

  10. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    Google Translate is a web-based free-to-user 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 service. [11] The input text had to be translated into English first before ...

  11. Runic (Unicode block) - Wikipedia

    en.wikipedia.org/wiki/Runic_(Unicode_block)

    Runic. Runic is a Unicode block containing runic characters . It was introduced in Unicode 3.0 (1999), with eight additional characters introduced in Unicode 7.0 (2014). [3] The original encoding of runes in UCS was based on the recommendations of the "ISO Runes Project" submitted in 1997. [a]