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Bureaucratium is an element with a negative half-life, becoming more massive and sluggish as time goes by. Byzanium Raise the Titanic! [29] Fictional element in the book Raise the Titanic! and its film adaptation, which is a main focus of the story arc. It is a powerful radioactive material sought by both the Americans and Russians for use as ...
Alchemical symbols were used to denote chemical elements and compounds, as well as alchemical apparatus and processes, until the 18th century. Although notation was partly standardized, style and symbol varied between alchemists.
Text corpora (singular: text corpus) are large and structured sets of texts, which have been systematically collected.Text corpora are used by both AI developers to train large language models and corpus linguists and within other branches of linguistics for statistical analysis, hypothesis testing, finding patterns of language use, investigating language change and variation, and teaching ...
Corpus, the colloquial term mostly used for Corpus Christi, Texas; Corpus fund, the capital generated for the continued sustenance of an organization; Corpus, total amount of money invested by all investors in a mutual fund scheme; The Corpus, a faction in the online game Warframe, organized as a cult that worships profit
Corpus linguistics is an empirical method for the study of language by way of a text corpus (plural corpora). [1] Corpora are balanced, often stratified collections of authentic, "real world", text of speech or writing that aim to represent a given linguistic variety . [ 1 ]
The works of Aristotle, sometimes referred to by modern scholars with the Latin phrase Corpus Aristotelicum, is the collection of Aristotle's works that have survived from antiquity. According to a distinction that originates with Aristotle himself, his writings are divisible into two groups: the " exoteric " and the " esoteric ". [ 1 ]
Most lossless compression programs do two things in sequence: the first step generates a statistical model for the input data, and the second step uses this model to map input data to bit sequences in such a way that "probable" (i.e. frequently encountered) data will produce shorter output than "improbable" data.
In a comparable corpus, the texts are of the same kind and cover the same content, but they are not translations of each other. [2] To exploit a parallel text, some kind of text alignment identifying equivalent text segments (phrases or sentences) is a prerequisite for analysis.