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Pseudo-(from Greek: ψευδής, pseudés ' false ') is a prefix used in a number of languages, often to mark something as a fake or insincere version. [ 1 ] In English , the prefix is used on both nouns and adjectives .
A pseudonym (/ ˈ sj uː d ə n ɪ m /; from Ancient Greek ψευδώνυμος (pseudṓnumos) 'lit. falsely named') or alias (/ ˈ eɪ l i. ə s /) is a fictitious name that a person assumes for a particular purpose, which differs from their original or true meaning ().
A pseudoword is a unit of speech or text that appears to be an actual word in a certain language, while in fact it has no meaning.It is a specific type of nonce word, or even more narrowly a nonsense word, composed of a combination of phonemes which nevertheless conform to the language's phonotactic rules. [1]
Pneumonoultramicroscopicsilicovolcanoconiosis is the longest word in the English language. The word can be analysed as follows: Pneumono: from ancient Greek (πνεύμων, pneúmōn) which means lungs; ultra: from Latin, meaning beyond; micro and scopic: from ancient Greek, meaning small looking, referring to the fineness of ...
Pseudo-listening is a type of non-listening that consists of appearing attentive in conversation while actually ignoring or only partially listening to the other speaker. [1] Pseudolistening is often used as a coping mechanism to manage personal needs while appearing attentive to others. [ 2 ]
The word pseudoscience is derived from the Greek root pseudo meaning "false" [17] [18] and the English word science, from the Latin word scientia, meaning "knowledge".
Scholars have identified seven levels of authenticity which they have organized in a hierarchy ranging from literal authorship, meaning written in the author's own hand, to outright forgery: [11] Literal authorship. A church leader writes a letter in his own hand. Dictation. A church leader dictates a letter almost word for word to an amanuensis.
An example of application of pseudonymization procedure is creation of datasets for de-identification research by replacing identifying words with words from the same category (e.g. replacing a name with a random name from the names dictionary), [11] [12] [13] however, in this case it is in general not possible to track data back to its origins.