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Latinisation (or Latinization) [1] of names, also known as onomastic Latinisation (or onomastic Latinization), is the practice of rendering a non-Latin name in a modern Latin style. [1] It is commonly found with historical proper names , including personal names and toponyms , and in the standard binomial nomenclature of the life sciences.
This machine-readable version of misspelled words is usually out-of-date compared to the actual listing pages for each of the individual, human-readable lists.
The original meaning was similar to "the game is afoot", but its modern meaning, like that of the phrase "crossing the Rubicon", denotes passing the point of no return on a momentous decision and entering into a risky endeavor where the outcome is left to chance. alenda lux ubi orta libertas: Let light be nourished where liberty has arisen
The name of a specific entity is sometimes called a proper name (although that term has a philosophical meaning as well) and is, when consisting of only one word, a proper noun. Other nouns are sometimes called "common names" or "general names". A name can be given to a person, place, or thing; for example, parents can give their child a name ...
It will save the file as a .txt file which can be opened with any text editor. Copy the wiki code from the text file. You can save any web page as an HTML file, and then open it in LibreOffice Writer. Edit as needed. Remove the parts you don't want. Keep only tables for example. Then export to MediaWiki. Tables can be further edited in ...
Thesaurus Linguae Latinae. A modern english thesaurus. A thesaurus (pl.: thesauri or thesauruses), sometimes called a synonym dictionary or dictionary of synonyms, is a reference work which arranges words by their meanings (or in simpler terms, a book where one can find different words with similar meanings to other words), [1] [2] sometimes as a hierarchy of broader and narrower terms ...
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.
An example of a backronym as a mnemonic is the Apgar score, used to assess the health of newborn babies.The rating system was devised by and named after Virginia Apgar.Ten years after the initial publication, the backronym APGAR was coined in the US as a mnemonic learning aid: appearance, pulse, grimace, activity, and respiration. [6]