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Collocation extraction is the task of using a computer to extract collocations automatically from a corpus. The traditional method of performing collocation extraction is to find a formula based on the statistical quantities of those words to calculate a score associated to every word pairs.
In computing, a word is any processor design's natural unit of data. A word is a fixed-sized datum handled as a unit by the instruction set or the hardware of the processor. The number of bits or digits [a] in a word (the word size, word width, or word length) is an important characteristic of any specific processor design or computer architecture.
The CBOW can be viewed as a ‘fill in the blank’ task, where the word embedding represents the way the word influences the relative probabilities of other words in the context window. Words which are semantically similar should influence these probabilities in similar ways, because semantically similar words should be used in similar contexts.
Each cell may contain either numeric or text data, or the results of formulas that automatically calculate and display a value based on the contents of other cells. The term spreadsheet may also refer to one such electronic document. [5] [6] [7] Spreadsheet users can adjust any stored value and observe the effects on calculated values.
Word count A live word count is included which automatically displays the number of words written as they are typed. This is in contrast with previous version of Word in which Word Count had to be manually selected from a menu. [5] Click and type Microsoft Office 2001 made it possible to double-click anywhere on the page and begin typing there.
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The machine is able to store one decimal number in each column. The machine can only add the value of a column n + 1 to column n to produce the new value of n. Column N can only store a constant, column 1 displays (and possibly prints) the value of the calculation on the current iteration.
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