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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.
Katakana (片仮名、カタカナ, IPA: [katakaꜜna, kataꜜkana]) is a Japanese syllabary, one component of the Japanese writing system along with hiragana, [2] kanji and in some cases the Latin script (known as rōmaji). The word katakana means "fragmentary kana", as the katakana characters are derived from components or fragments of more ...
Katakana is also used to represent onomatopoeia and interjections, emphasis, technical and scientific terms, transcriptions of the Sino-Japanese readings of kanji, and some corporate branding. Kana can be written in small form above or next to lesser-known kanji in order to show pronunciation; this is called furigana .
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]
The list below shows the Japanese readings of letters in Katakana, for spelling out words, or in acronyms. For example, NHK is read enu-eichi-kē ( エヌ・エイチ・ケー ) . These are the standard names, based on the British English letter names (so Z is from zed , not zee ), but in specialized circumstances, names from other languages ...
The modern Japanese writing system uses a combination of logographic kanji, which are adopted Chinese characters, and syllabic kana.Kana itself consists of a pair of syllabaries: hiragana, used primarily for native or naturalized Japanese words and grammatical elements; and katakana, used primarily for foreign words and names, loanwords, onomatopoeia, scientific names, and sometimes for emphasis.
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.
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.
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related to: google translate katakana