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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]
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]
Japanese phonology has been affected by the presence of several layers of vocabulary in the language: in addition to native Japanese vocabulary, Japanese has a large amount of Chinese-based vocabulary (used especially to form technical and learned words, playing a similar role to Latin-based vocabulary in English) and loanwords from other ...
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
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 ...
For a guide to adding IPA characters to Wikipedia articles, see Template:IPA and Wikipedia:Manual of Style/Pronunciation § Entering IPA characters. Examples in the charts are Japanese words transliterated according to the Hepburn romanization system. See Japanese phonology for a more thorough discussion of the sounds of Japanese.
In New Zealand English, the vowels of kit /ˈkɪt/ and focus /ˈfoʊkəs/ have the same schwa-like quality. [o] [p] If you are from New Zealand, ignore the difference between the symbols /ɪ/ and /ə/. In contemporary New Zealand English and some other dialects, the vowels of near /ˈnɪər/ and square /ˈskwɛər/ are not distinguished.
The "DKvec" method has proven invaluable for machine translation in general, due to the amazing success it has had in trials conducted on both English – Japanese and English – Chinese noisy parallel corpora. The figures for accuracy "show a 55.35% precision from a small corpus and 89.93% precision from a larger corpus". [6]
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