machine-readable text

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Noun1.machine-readable text - electronic text that is stored as strings of characters and that can be displayed in a variety of formatsmachine-readable text - electronic text that is stored as strings of characters and that can be displayed in a variety of formats
hypertext - machine-readable text that is not sequential but is organized so that related items of information are connected; "Let me introduce the word hypertext to mean a body of written or pictorial material interconnected in such a complex way that it could not conveniently be presented or represented on paper"--Ted Nelson
electronic text - text that is in a form that computer can store or display on a computer screen
Based on WordNet 3.0, Farlex clipart collection. © 2003-2012 Princeton University, Farlex Inc.
References in periodicals archive ?
It is a process that takes written or printed text and turns it into machine-readable text by mechanical or digital means.
"Intl Bus Mchs" as a company name search, "Minn Min M!!" Way, way back in those days, publishers would convert print reference tools into online by just loading up the machine-readable text used to print the items.
The first was the digitisation of the journal itself; the second the conversion of the scanned images into machine-readable text using optical character recognition software.
Instead of seeing calculations laid out in conventional math notation, you see machine-readable text buried in formulas using cryptic hidden macros and convoluted cell structure.
This contract expression language has been designed to translate a paper contract into machine-readable text so that the digital rights and conditions can travel along with the content.
You can use optical character recognition (OCR) software, which reads the characters on a TIFF file or other digital image and translates them into a separate file of machine-readable text. But this approach comes up short because you must jump from the new file back to the original image to view the search results in the original context.
MANY DIMENSIONS Although Mosteller and Wallace's study made a big splash, their techniques were not widely picked up, largely because of the shortage of computing power and machine-readable text at the time.
According to an article by Wade Roush in the June 2003 MIT Technology Review entitled "Computers That Speak Your Language," natural language processing must solve four challenges: accurately transforming human speech into machine-readable text, analyzing the vocabulary and structure of the text to acquire meaning, producing a sensible response, and replying in a human-sounding voice.