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| Designers | Russell Ginns |
|---|---|
| Publishers | Front Porch Classics |
| Players | 2 |
| Playing time | 20 minutes |
WordSpot is a fast-paced word search game designed by Russell Ginns and published by Front Porch Classics. [1] [2]
Players use transparent tokens to highlight words found on a board of wooden letter tiles. The goal is to use up all your tokens.
Natural language processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them. The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves.
2 (two) is a number, numeral and digit. It is the natural number following 1 and preceding 3. It is the smallest and only even prime number. Because it forms the basis of a duality, it has religious and spiritual significance in many cultures.
In computer science, lexical analysis, lexing or tokenization is the process of converting a sequence of characters into a sequence of lexical tokens. A program that performs lexical analysis may be termed a lexer, tokenizer, or scanner, although scanner is also a term for the first stage of a lexer. A lexer is generally combined with a parser, which together analyze the syntax of programming languages, web pages, and so forth.
Token may refer to:
Casino tokens are small discs used in lieu of currency in casinos. Colored metal, injection-molded plastic or compression molded clay tokens of various denominations are used primarily in table games, as opposed to metal token coins, used primarily in slot machines. Casino tokens are also widely used as play money in casual or tournament games.
Exonumia are numismatic items other than coins and paper money. This includes "Good For" tokens, badges, counterstamped coins, elongated coins, encased coins, souvenir medallions, tags, wooden nickels and other similar items. It is related to numismatics, and many coin collectors are also exonumists.
A bigram or digram is a sequence of two adjacent elements from a string of tokens, which are typically letters, syllables, or words. A bigram is an n-gram for n=2. The frequency distribution of every bigram in a string is commonly used for simple statistical analysis of text in many applications, including in computational linguistics, cryptography, speech recognition, and so on.
Jetons or jettons are tokens or coin-like medals produced across Europe from the 13th through the 18th centuries. They were produced as counters for use in calculation on a counting board, a lined board similar to an abacus. They also found use as a money substitute in games, similar to modern casino chips or poker chips.
A collaborative real-time editor is a type of collaborative software or web application which enables real-time collaborative editing, simultaneous editing, or live editing of the same digital document, computer file or cloud-stored data – such as an online spreadsheet, word processing document, database or presentation – at the same time by different users on different computers or mobile devices, with automatic and nearly instantaneous merging of their edits.
"Here Comes the Neighborhood" is the twelfth episode of the fifth season of the animated television series South Park, and the 77th episode of the series overall. "Here Comes the Neighborhood" originally aired in the United States on November 28, 2001 on Comedy Central. The title is a play on the expression "There goes the neighborhood."
A truth-bearer is an entity that is said to be either true or false and nothing else. The thesis that some things are true while others are false has led to different theories about the nature of these entities. Since there is divergence of opinion on the matter, the term truth-bearer is used to be neutral among the various theories. Truth-bearer candidates include propositions, sentences, sentence-tokens, statements, beliefs, thoughts, intuitions, utterances, and judgements but different authors exclude one or more of these, deny their existence, argue that they are true only in a derivative sense, assert or assume that the terms are synonymous, or seek to avoid addressing their distinction or do not clarify it.
Civil War tokens are token coins that were privately minted and distributed in the United States between 1861 and 1864. They were used mainly in the Northeast and Midwest. The widespread use of the tokens was a result of the scarcity of government-issued cents during the Civil War.
Search engine indexing is the collecting, parsing, and storing of data to facilitate fast and accurate information retrieval. Index design incorporates interdisciplinary concepts from linguistics, cognitive psychology, mathematics, informatics, and computer science. An alternate name for the process, in the context of search engines designed to find web pages on the Internet, is web indexing.
"With Apologies to Jesse Jackson" is the eleventh season premiere of the American animated television series South Park, and the 154th overall episode of the series. It first aired on Comedy Central in the United States on March 7, 2007, and was rated TV-MA-L. In the episode, Randy says the word "nigger" on the real-life game show Wheel of Fortune, leading to widespread public outrage. Stan attempts to understand the epithet's impact on his black friend Token. Meanwhile, a man with dwarfism has a hard time trying to teach Cartman to be sensitive.
The bag-of-words model is a simplifying representation used in natural language processing and information retrieval (IR). In this model, a text is represented as the bag (multiset) of its words, disregarding grammar and even word order but keeping multiplicity. The bag-of-words model has also been used for computer vision.
The type–token distinction is the difference between naming a class (type) of objects and naming the individual instances (tokens) of that class. Since each type may be exemplified by multiple tokens, there are generally more tokens than types of an object. For example, the sentence "A rose is a rose is a rose" contains three word types: three word tokens of the type a, three word tokens of the type rose, and two word tokens of the type is. The distinction is important in disciplines such as logic, linguistics, metalogic, typography, and computer programming.
Word Streak is a word game developed by Zynga with Friends for iOS and Android and released in January 2012. Gameplay is similar to that of Boggle—players try to find as many words as possible in a jumbled 4x4 grid of letters by connecting adjacent letters to form words within a two-minute time frame - though with extra features and a different scoring system. Words may be formed vertically, horizontally, and diagonally. Scramble with Friends is one of the top ranking games in the iOS application store, available as both a free ad-supported version and an ad-less paid version. Scramble with Friends replaced Scramble Challenge at the end of 2011, but did not retain the solitaire option of the latter.
Neo is an open-source decentralized blockchain decentralized application platform founded in 2014 by Da HongFei and Erik Zhang. Since its rebranding to Neo from Antshares in 2017, the project's vision is to realize a "smart economy" by utilizing blockchain technology and smart contracts to issue and manage digitized assets.
A transformer is a deep learning model that adopts the mechanism of self-attention, differentially weighting the significance of each part of the input data. It is used primarily in the fields of natural language processing (NLP) and computer vision (CV).
In neural networks, attention is a technique that mimics cognitive attention. The effect enhances some parts of the input data while diminishing other parts — the thought being that the network should devote more focus to that small but important part of the data. Learning which part of the data is more important than others depends on the context and is trained by gradient descent.
