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Sino-Vietnamese vocabulary (Vietnamese: từ Hán Việt, Chữ Hán: 詞漢越, literally 'Chinese-Vietnamese words') is a layer of about 3,000 monosyllabic morphemes of the Vietnamese language borrowed from Literary Chinese with consistent pronunciations based on Middle Chinese.
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]
Tam thiên tự (chữ Hán: 三千字; literally 'three thousand characters') is a Vietnamese text that was used in the past to teach young children Chinese characters and chữ Nôm.
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 ...
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.
The main Vietnamese term used for Chinese characters is chữ Hán (𡨸漢).It is made of chữ meaning 'character' and Hán 'Han (referring to the Han dynasty)'.Other synonyms of chữ Hán includes chữ Nho (𡨸儒 [t͡ɕɨ˦ˀ˥ ɲɔ˧˧], literally 'Confucian characters') and Hán tự [a] (漢字 [haːn˧˦ tɨ˧˨ʔ] ⓘ) which was borrowed directly from Chinese.
Han (1966) uses acoustic analysis, including spectrograms and formant measuring and plotting, to describe the vowels. She states that the primary difference between orthographic ơ & â and a & ă is a difference of length (a ratio of 2:1).
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