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This sort of quantification is known as uniqueness quantification or unique existential quantification, and is often denoted with the symbols "∃!" [ 2 ] or "∃ =1 ". For example, the formal statement
As a result, sometimes, specificity can be ambiguous. Consider the following example: Every woman talked to a student. This has two interpretations. Under one reading, every woman talked to the same student (the class president, for example), and here the noun phrase a student is specific. Under the second reading, various students were talked to.
For example, integrated circuit layouts, ship hull designs, fashion designs in France, databases, and plant varieties require sui generis statutes because of their unique characteristics. The United States, Japan, Australia, and many EU countries protect the topography of semiconductor chips and integrated circuits under sui generis laws, which ...
Unique primarily refers to: Uniqueness , a state or condition wherein something is unlike anything else In mathematics and logic, a unique object is the only object with a certain property, see Uniqueness quantification
One example of pensée unique given by critics was TINA ("There is no alternative"), the motto of former British prime minister Margaret Thatcher. The expression was coined by Jean-François Kahn , editor-in-chief of L'Événement du Jeudi , [ 1 ] in an editorial in January 1992.
For example, primitive signs must permit expression of the concepts to be modeled; sentential formulas are chosen so that their counterparts in the intended interpretation are meaningful declarative sentences; primitive sentences need to come out as true sentences in the interpretation; rules of inference must be such that, if the sentence is ...
Language consists of sentence constructs, word choices, and expressions of style, and an idiolect comprises an individual's uses of these facets. Every person has a unique idiolect influenced by their language, socioeconomic status, and geographical location. Forensic linguistics psychologically analyzes idiolects. [2]
Once trained, such a model can detect synonymous words or suggest additional words for a partial sentence. Word2vec was developed by Tomáš Mikolov and colleagues at Google and published in 2013. Word2vec represents a word as a high-dimension vector of numbers which capture relationships between words.