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This is the template test cases page for the sandbox of Template:Latin script Purge this page to update the examples. If there are many examples of a complicated template, later ones may break due to limits in MediaWiki ; see the HTML comment " NewPP limit report " in the rendered page.
The Character Generator Protocol (CHARGEN) service is an Internet protocol intended for testing, debugging, and measurement purposes. The user receives a stream of bytes . Although the specific format of the output is not prescribed by RFC 864 , the recommended pattern (and a de facto standard ) is shifted lines of 72 ASCII characters repeating.
Lorem ipsum is typically a corrupted version of De finibus bonorum et malorum, a 1st-century BC text by the Roman statesman and philosopher Cicero, with words altered, added, and removed to make it nonsensical and improper Latin. The first two words themselves are a truncation of dolorem ipsum ("pain itself").
National Latin Exam silver medal. The National Latin Exam is a test given to Latin students. Sponsored by the U.S.-based American Classical League and the National Junior Classical League, the exam was given in 2023 to over 107,000 students in the U.S., Australia, Canada, China, France, Germany, Iran, Italy, Japan, New Zealand, Poland, United Kingdom, Zimbabwe, and Taiwan. [1]
The tap code is based on a Polybius square using a 5×5 grid of letters representing all the letters of the Latin alphabet, except for K, which is represented by C. . Each letter is communicated by tapping two numbers, the first designating the row and the second (after a pause) designating the column.
However, parser generators for context-free grammars often support the ability for user-written code to introduce limited amounts of context-sensitivity. (For example, upon encountering a variable declaration, user-written code could save the name and type of the variable into an external data structure, so that these could be checked against ...
Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate.
Latin phonology is the system of sounds used in various kinds of Latin.This article largely deals with what features can be deduced for Classical Latin as it was spoken by the educated from the late Roman Republic to the early Empire.