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The list also offers a table of correspondences between 2,546 Simplified Chinese characters and 2,574 Traditional Chinese characters, along with other selected variant forms. This table replaced all previous related standards, and provides the authoritative list of characters and glyph shapes for Simplified Chinese in China. The Table ...
Modern Han Chinese consists of about 412 syllables [1] in 5 tones, so homophones abound and most non-Han words have multiple possible transcriptions. This is particularly true since Chinese is written as monosyllabic logograms, and consonant clusters foreign to Chinese must be broken into their constituent sounds (or omitted), despite being thought of as a single unit in their original language.
The basic format for a head entry gives the character, the Instant Index System code, the pronunciation(s) in Simplified GR, the part or parts of speech, optionally other speech levels (e.g., "sl." for slang), English translation equivalents for the head character and usage examples of polysyllabic compounds, phrases, and idioms, subdivided by ...
The List of Frequently Used Characters in Modern Chinese (simplified Chinese: 现代汉语常用字表; traditional Chinese: 現代漢語常用字表; pinyin: Xiàndài Hànyǔ Chángyòngzì Biǎo) is a list of 3,500 frequently-used Chinese characters, which are further divided into two levels: 2,500 frequently-used characters and 1,000 less frequently-used characters.
A page from the Yiqiejing yinyi, the oldest extant Chinese dictionary of Buddhist technical terminology – Dunhuang manuscripts, c. 8th century. There are two types of dictionaries regularly used in the Chinese language: 'character dictionaries' (字典; zìdiǎn) list individual Chinese characters, and 'word dictionaries' (辞典; 辭典; cídiǎn) list words and phrases.
This category is for articles on words and phrases of Chinese origin. For articles on words and phrases related to a specific area of China, or to a specific spoken variant, please refer to one of the subcategories.
View a machine-translated version of the Chinese 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.
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]
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