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Thing Explainer: Complicated Stuff in Simple Words is a 2015 illustrated non-fiction book created by Randall Munroe, in which the author attempts to explain various complex subjects using only the 1,000 most common English words. Munroe conceptualized the book in 2012, when drawing a schematic of the Saturn V rocket for his webcomic xkcd.
The declarative sentence is the most common kind of sentence, and can be considered the default form: when a language forms a question or a command, it will be a modification of the declarative. A declarative states an idea (either objectively or subjectively on the part of the speaker; and may be either true or false) for the purpose of ...
In linguistic typology, a verb–subject–object (VSO) language has its most typical sentences arrange their elements in that order, as in Ate Sam apples (Sam ate apples). VSO is the third-most common word order among the world's languages, [1] after SOV (as in Hindi and Japanese) and SVO (as in English and Mandarin Chinese).
A Jabberwocky sentence is a type of sentence of interest in neurolinguistics. Jabberwocky sentences take their name from the language of Lewis Carroll's well-known poem " Jabberwocky ". In the poem, Carroll uses correct English grammar and syntax, but many of the words are made up and merely suggest meaning.
The sentence can be read as "Reginam occidere nolite, timere bonum est, si omnes consentiunt, ego non. Contradico. " ("don't kill the Queen, it is good to be afraid, even if all agree I do not. I object."), or the opposite meaning " Reginam occidere nolite timere, bonum est; si omnes consentiunt ego non contradico.
This sentence was constructed by Noam Chomsky as an illustration that phrase structure rules are capable of generating syntactically correct but semantically incorrect sentences. Phrase structure rules break sentences down into their constituent parts. These constituents are often represented as tree structures (dendrograms). The tree for ...
Regular languages are a category of languages (sometimes termed Chomsky Type 3) which can be matched by a state machine (more specifically, by a deterministic finite automaton or a nondeterministic finite automaton) constructed from a regular expression.
In 2010, Tomáš Mikolov (then at Brno University of Technology) with co-authors applied a simple recurrent neural network with a single hidden layer to language modelling. [ 6 ] Word2vec was created, patented, [ 7 ] and published in 2013 by a team of researchers led by Mikolov at Google over two papers.