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These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus . Once trained, such a model can detect synonymous words or suggest additional words for a partial sentence.
In sentences such as this, the preferred reading is to interpret "persuaded" as the main verb of the sentence (i.e., "the broker persuaded me"), and upon seeing the word to the reader has to re-analyze the sentence to mean something more like "the broker that was persuaded to sell the stock, he was tall".
Short title: example derived form Ghostscript examples: Image title: derivative of Ghostscript examples "text_graphic_image.pdf", "alphabet.ps" and "waterfal.ps"
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.
Semantic properties or meaning properties are those aspects of a linguistic unit, such as a morpheme, word, or sentence, that contribute to the meaning of that unit.Basic semantic properties include being meaningful or meaningless – for example, whether a given word is part of a language's lexicon with a generally understood meaning; polysemy, having multiple, typically related, meanings ...
Dissociated press is a parody generator (a computer program that generates nonsensical text). The generated text is based on another text using the Markov chain technique. The name is a play on "Associated Press" and the psychological term dissociation (although word salad is more typical of conditions like aphasia and schizophrenia – which is, however, frequently confused with dissociative ...
Phrase structure rules as they are commonly employed result in a view of sentence structure that is constituency-based. Thus, grammars that employ phrase structure rules are constituency grammars (= phrase structure grammars), as opposed to dependency grammars, [4] which view sentence structure as dependency-based. What this means is that for ...
[example needed] Usage-based model The usage-based model is based on inductive learning, meaning that linguistic knowledge is acquired in a bottom-up manner through use. It allows for redundancy and generalizations, because the language user generalizes over recurring experiences of use. [example needed] Default inheritance model