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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. [12] 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. [12]

  3. Google Neural Machine Translation - Wikipedia

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

    Google Translate previously first translated the source language into English and then translated the English into the target language rather than translating directly from one language to another. [11] A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...

  4. Google Translator Toolkit - Wikipedia

    en.wikipedia.org/wiki/Google_Translator_Toolkit

    Google Translator Toolkit automatically 'pretranslated' the document. It divided the document into segments, usually sentences, headers, or bullets. Next, it searched all available translation databases for previous human translations of each segment. If any previous human translations of the segment existed, Google Translator Toolkit picked ...

  5. Google Dictionary - Wikipedia

    en.wikipedia.org/wiki/Google_Dictionary

    Google Dictionary is an online dictionary service of Google that can be accessed with the "define" operator and other similar phrases [note 1] in Google Search. [2] It is also available in Google Translate and as a Google Chrome extension. The dictionary content is licensed from Oxford University Press's Oxford Languages. [3]

  6. Machine translation - Wikipedia

    en.wikipedia.org/wiki/Machine_translation

    Word-sense disambiguation concerns finding a suitable translation when a word can have more than one meaning. The problem was first raised in the 1950s by Yehoshua Bar-Hillel. [33] He pointed out that without a "universal encyclopedia", a machine would never be able to distinguish between the two meanings of a word. [34]

  7. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/Neural_machine_translation

    In the translation task, a sentence =, (consisting of tokens ) in the source language is to be translated into a sentence =, (consisting of tokens ) in the target language. The source and target tokens (which in the simple event are used for each other in order for a particular game ] vectors, so they can be processed mathematically.

  8. Hinglish - Wikipedia

    en.wikipedia.org/wiki/Hinglish

    In the context of written language, Hinglish colloquially refers to Romanized Hindi — Hindustani written in English alphabet (that is, using Roman script instead of the traditional Devanagari or Nastaliq), often also mixed with English words or phrases.

  9. Devanagari transliteration - Wikipedia

    en.wikipedia.org/wiki/Devanagari_transliteration

    Hinglish refers to the non-standardised Romanised Hindi used online, and especially on social media. In India, Romanised Hindi is the dominant form of expression online. In an analysis of YouTube comments, Palakodety et al., identified that 52% of comments were in Romanised Hindi, 46% in English, and 1% in Devanagari Hindi. [21]