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Sindoor (Sanskrit: सिन्दूर, IAST: sindūra) or sindura [2] is a traditional vermilion red or orange-red cosmetic powder from the South Asia, usually worn by married women along the part of their hairline. [3]
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 ]
Pages in category "Google Translate" The following 4 pages are in this category, out of 4 total. ... Google Neural Machine Translation; Google Translate; R. Malinda ...
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 ...
Eijirō (英辞郎) is a large database of English–Japanese translations. It is developed by the editors of the Electronic Dictionary Project and aimed at translators. Although the contents are technically the same, EDP refers to the accompanying Japanese–English database as Waeijirō (和英辞郎).
Linguee is an online bilingual concordance that provides an online dictionary for a number of language pairs, including many bilingual sentence pairs. As a translation aid, Linguee differs from machine translation services like Babel Fish, and is more similar in function to a translation memory.
View a machine-translated version of the Japanese article. 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.
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