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Text formatting in citations should follow, consistently within an article, an established citation style or system. Options include either of Wikipedia's own template-based Citation Style 1 and Citation Style 2, and any other well-recognized citation system. Parameters in the citation templates should be accurate.
A sequela (UK: / s ɪ ˈ k w iː l ə /, [1] US: / s ɪ ˈ k w ɛ l ə /; [2] [3] usually used in the plural, sequelae /-iː /) is a pathological condition resulting from a disease, injury, therapy, or other trauma. Derived from the Latin word meaning "sequel", it is used in the medical field to mean a complication or condition following a ...
If the quotation is a single word or a sentence fragment, place the terminal punctuation outside the closing quotation mark. When quoting a full sentence, the end of which coincides with the end of the sentence containing it, place terminal punctuation inside the closing quotation mark. Miller wanted, he said, "to create something timeless".
Phrase structure rules as they are commonly employed result in a view of sentence structure that is constituency-based. Thus, grammars that employ phrase structure rules are constituency grammars (= phrase structure grammars), as opposed to dependency grammars, [4] which view sentence structure as dependency-based. What this means is that for ...
A major sentence is a regular sentence; it has a subject and a predicate, e.g. "I have a ball." In this sentence, one can change the persons, e.g. "We have a ball." However, a minor sentence is an irregular type of sentence that does not contain a main clause, e.g. "Mary!", "Precisely so.", "Next Tuesday evening after it gets dark."
Wikipedia does not have a "one inline citation per sentence" or "one citation per paragraph" rule, even for featured articles. Wikipedia requires inline citations based on the content, not on the grammar and composition elements. Some articles (e.g., articles about controversial people) will require inline citations after nearly every sentence.
The lead section may contain optional elements presented in the following order: short description, disambiguation links (dablinks/hatnotes), maintenance tags, infoboxes, special character warning box, images, navigational boxes (navigational templates), introductory text, and table of contents, moving to the heading of the first section.
These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus . Once trained, such a model can detect synonymous words or suggest additional words for a partial sentence.