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An extension of word vectors for creating a dense vector representation of unstructured radiology reports has been proposed by Banerjee et al. [23] One of the biggest challenges with Word2vec is how to handle unknown or out-of-vocabulary (OOV) words and morphologically similar words. If the Word2vec model has not encountered a particular word ...
Animation for the anagram "Listen = Silent" An anagram is a word or phrase formed by rearranging the letters of a different word or phrase, typically using all the original letters exactly once. [1]
Byte pair encoding [1] [2] (also known as BPE, or digram coding) [3] is an algorithm, first described in 1994 by Philip Gage, for encoding strings of text into smaller strings by creating and using a translation table. [4]
Also isometric graphics. Graphic rendering technique of three-dimensional objects set in a two-dimensional plane of movement. Often includes games where some objects are still rendered as sprites. 360 no-scope A 360 no-scope usually refers to a trick shot in a first or third-person shooter video game in which one player kills another with a sniper rifle by first spinning a full circle and then ...
Researchers have found that adults who regularly solved crossword puzzles, which require familiarity with a larger vocabulary, had better brain function later in life. [ 1 ] Popular word-based game shows have been a part of television and radio throughout broadcast history, including Spelling Bee , the first televised game show, and Wheel of ...
In linguistics, lexical similarity is a measure of the degree to which the word sets of two given languages are similar. A lexical similarity of 1 (or 100%) would mean a total overlap between vocabularies, whereas 0 means there are no common words.
The Lexile Framework for Reading is an educational tool in the United States that uses a measure called a Lexile to match readers with reading resources such as books and articles. Readers and texts are assigned a Lexile score, where lower scores reflect easier readability for texts and lower reading ability for readers.
The pyramid match kernel builds multi-resolution histograms by binning data points into discrete regions of increasing size. Thus, points that do not match at high resolutions have the chance to match at low resolutions. The pyramid match kernel performs an approximate similarity match, without explicit search or computation of distance.