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In common usage and linguistics, concision (also called conciseness, succinctness, [1] terseness, brevity, or laconicism) is a communication principle [2] of eliminating redundancy, [3] generally achieved by using as few words as possible in a sentence while preserving its meaning.
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Too long; didn't read (abbreviated TL;DR and tl;dr) is a shorthand to indicate that a passage is too long to invest the time to digest it. [3] Akin to Wall of text.. The label is often used to point out excessive verbosity or to signify the presence of and location of a short summary in case the page is too long and won't otherwise be read. [4]
This Book Is the Longest Sentence Ever Written and Then Published (2020), by humor writer Dave Cowen, consists of one sentence that runs for 111,111 words, and is a stream of consciousness memoir [9] [10] [11]
If the quotation is a single word or a sentence fragment, place the terminal punctuation outside the closing quotation mark. When quoting a full sentence, the end of which coincides with the end of the sentence containing it, place terminal punctuation inside the closing quotation mark. Miller wanted, he said, "to create something timeless".
The Ultimate Cut-Up Generator An online version that cuts-up the Internet, a specific URL, or your own text. iOS Cut-ups App An iOS app implementation of cut-ups which mimics the ability to manually rearrange lines of texts as well as input camera-captured, converted text into your cut-ups.
MathQA takes an English or Hindi natural language question as input and returns a mathematical formula retrieved from Wikidata as a succinct answer, translated into a computable form that allows the user to insert values for the variables. The system retrieves names and values of variables and common constants from Wikidata if those are available.
Sentence extraction is a technique used for automatic summarization of a text. In this shallow approach, statistical heuristics are used to identify the most salient sentences of a text. Sentence extraction is a low-cost approach compared to more knowledge-intensive deeper approaches which require additional knowledge bases such as ontologies ...
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