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  2. Tabula in naufragio - Wikipedia

    en.wikipedia.org/wiki/Tabula_in_naufragio

    Tabula in naufragio is a legal Latin phrase, literally interpreted as "a plank in a shipwreck". It is used metaphorically, particularly in law , to convey: "when all else has failed, it is the thing that stops (or is intended to stop) you from drowning."

  3. 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]

  4. 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]

  5. List of reconstructed Dacian words - Wikipedia

    en.wikipedia.org/wiki/List_of_reconstructed...

    Both Georgiev and Duridanov use the comparative linguistic method to decipher ancient Thracian and Dacian names, respectively.. Georgiev argues that one can reliably decipher the meaning of an ancient place-name in an unknown language by comparing it to its successor-names and to cognate place-names and words in other IE languages, both ancient and modern.

  6. 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

  7. Comparison of machine translation applications - Wikipedia

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

    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. Gaudeamus igitur - Wikipedia

    en.wikipedia.org/wiki/Gaudeamus_igitur

    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.

  9. 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 ...