Dictionary of Arguments

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Author Item Summary Meta data
I 35
Algorithms/Big Data/Mayer-Schönberger: the more data are available, the more algorithms are trumped. This can be seen in the way computers learn to deal with everyday language and how they translate it.
I 36
With larger amounts of data, an older, simpler algorithm worked even better. (1)



1. Michele Banko and Eric Brill, “Scaling to Very Very Large Corpora for Natural Language Disambiguation,” Microsoft Research, 2001, p. 3 (http://acl.ldc.upenn.edu/P/P01/P01-1005.pdf).


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Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution.
The note [Author1]Vs[Author2] or [Author]Vs[term] is an addition from the Dictionary of Arguments. If a German edition is specified, the page numbers refer to this edition.

MSchoen I
Viktor Mayer-Schönberger
Big Data: A Revolution That Will Transform How We Live, Work, and Think New York 2013


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Ed. Martin Schulz, access date 2018-12-17
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