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SMS language displayed on a mobile phone screen. Short Message Service ( SMS) language, textism, or textese[ a] is the abbreviated language and slang commonly used in the late 1990s and early 2000s with mobile phone text messaging, and occasionally through Internet -based communication such as email and instant messaging. [ 1]
Urban Dictionary is a crowdsourced English-language online dictionary for slang words and phrases. The website was founded in 1999 by Aaron Peckham. Originally, Urban Dictionary was intended as a dictionary of slang or cultural words and phrases, not typically found in standard English dictionaries, but it is now used to define any word, event, or phrase (including sexually explicit content).
Snowflake is a derogatory slang term for a person, implying that they have an inflated sense of uniqueness, an unwarranted sense of entitlement, or are overly emotional, easily offended, and unable to deal with opposing opinions. The term gained prominence in the 2010s, and was declared by The Guardian in Britain to be the "defining insult of ...
Rhyme scheme. A rhyme scheme is the pattern of rhymes at the end of each line of a poem or song. It is usually referred to by using letters to indicate which lines rhyme; lines designated with the same letter all rhyme with each other. An example of the ABAB rhyming scheme, from "To Anthea, who may Command him Anything", by Robert Herrick :
Brainrot is a special segment of Gen Alpha slang that comes from spending a ton of time online —usually in spaces like TikTok, Snapchat, YouTube, or even gaming communities like Roblox or ...
List of Generation Z slang. The following is a list of slang that is used or popularized by Generation Z (Gen Z), generally those born between the late 1990s and early 2010s in the Western world. Generation Z slang differs from slang of prior generations. [ 1][ 2] Ease of communication with the Internet facilitated the rapid proliferation of ...
Lexical tokenization is related to the type of tokenization used in large language models (LLMs) but with two differences. First, lexical tokenization is usually based on a lexical grammar, whereas LLM tokenizers are usually probability -based. Second, LLM tokenizers perform a second step that converts the tokens into numerical values.
This has led to plenty of ways to communicate as well, like using shorthand and Gen Z slang, for example. In any given post or text message, you might come across abbreviations and terms like IB ...