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Translation Notes saltus in demonstrando: leap in explaining: a leap in logic, by which a necessary part of an equation is omitted. salus in arduis: a stronghold (or refuge) in difficulties: a Roman Silver Age maxim. Also the school motto of Wellingborough School. salus populi suprema lex esto: the welfare of the people is to be the highest law
The Rosetta Stone, a symbol of the art of translation [5] The word for the concept of "translation" in English and in some other European languages derives from the Latin noun translatio, [6] which comes from trans, "across" + ferre, "to bring" – with -latio coming from latus, the past participle of ferre).
Translation Notes a bene placito: from one well pleased: i.e., "at will" or "at one's pleasure". This phrase, and its Italian (beneplacito) and Spanish (beneplácito) derivatives, are synonymous with the more common ad libitum (at pleasure). a capite ad calcem: from head to heel: i.e., "from top to bottom", "all the way through", or "from head ...
Multitran multilingual online dictionary centered on Russian, and provides an opportunity of adding own translation; Reverso collaborative dictionary and contextual translations; Ultralingua free and premium multilingual dictionary; Wiktionary collaborative project run by the Wikimedia Foundation; WWWJDIC Japanese–English
a word is known by the company it keeps: In statutory interpretation, when a word is ambiguous, its meaning may be determined by reference to the rest of the statute. noster nostri: Literally "Our ours" Approximately "Our hearts beat as one." nota bene (n.b.) mark well: That is, "please note" or "note it well". novus ordo seclorum: new order of ...
When many people hear the word “recession,” they get antsy about the stock market. Take a deep breath. You can make strategic moves to protect your money, starting with dividend stocks.
Machine translation enjoyed a fierce research interest during the 1950s and 1960s, which was followed by a stagnation until the 1980s. [7] After the 1980s, machine translation became mainstream again, enjoying an even bigger popularity than in the 1950s and 1960s as well as rapid expansion, largely based on the text corpora approach.
Generative language models are not trained on the translation task, let alone on a parallel dataset. Instead, they are trained on a language modeling objective, such as predicting the next word in a sequence drawn from a large dataset of text. This dataset can contain documents in many languages, but is in practice dominated by English text. [36]