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A simulacrum (pl.: simulacra or simulacrums, from Latin simulacrum, meaning "likeness, semblance") is a representation or imitation of a person or thing. [1] The word was first recorded in the English language in the late 16th century, used to describe a representation, such as a statue or a painting, especially of a god .
Semblance may refer to: Semblance, a 2018 video game by Nyamakop; Semblance analysis, a process used in the refinement and study of seismic data This page ...
For example, changing a complex sentence into two simpler sentences while maintaining the overall meaning falls into this category. Discourse-based changes are alterations that affect the larger discourse or text structure, such as reordering points in a paragraph or changing the way arguments are presented without altering the factual content.
A Jabberwocky sentence is a type of sentence of interest in neurolinguistics. Jabberwocky sentences take their name from the language of Lewis Carroll's well-known poem " Jabberwocky ". In the poem, Carroll uses correct English grammar and syntax, but many of the words are made up and merely suggest meaning.
It is essentially the Jaccard distance between the sentence, excluding n-grams that appear in the source sentence to maintain some semantic equivalence. PEM, on the other hand, attempts to evaluate the "adequacy, fluency, and lexical dissimilarity" of paraphrases by returning a single value heuristic calculated using N-grams overlap in a pivot ...
For example, there was the WhatsApp message to a Chinese businessman openly threatening the displeasure of Joe Biden if money was not forked over without delay. In the message, Hunter warned:
A famous example for lexical ambiguity is the following sentence: "Wenn hinter Fliegen Fliegen fliegen, fliegen Fliegen Fliegen hinterher.", meaning "When flies fly behind flies, then flies fly in pursuit of flies." [40] [circular reference] It takes advantage of some German nouns and corresponding verbs being homonymous. While not noticeable ...
In 1995, the generator had "282 sentence skeletons, 170 independent clauses, 183 adjectives, and 123 nouns". The combination of these elements can form more than one billion sentences. [7] As of September 2009, the generator has expanded to 3379 independent clauses, 618 adjectives, and 497 nouns. [8]
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