Dr Minor would read a text not for its meaning but for its words. It wasa novel approach to the task – the equivalent of cutting up a book word byword, and then placing each in an alphabetical list which helped the editorsquickly find quotations. Just as Google today ‘reads’ text as a series of wordsor symbols that are searchable and discoverable, so with Dr Minor. A manualundertaking of this kind was laborious – he was basically working as acomputer would work – but it probably resulted in a higher percentage of hisquotations making it to the Dictionary page than those of other contributors.
4 Matching Annotations
- Feb 2024
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- Oct 2023
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Envisioning the next wave of emergent AI
Are we stretching too far by saying that AI are currently emergent? Isn't this like saying that card indexes of the early 20th century are computers. In reality they were data storage and the "computing" took place when humans did the actual data processing/thinking to come up with new results.
Emergence would seem to actually be the point which comes about when the AI takes its own output and continues processing (successfully) on it.
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- Aug 2022
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I recall being told by a distinguishedanthropological linguist, in 1953, that he had no intention of working througha vast collection of materials that he had assembled because within a few yearsit would surely be possible to program a computer to construct a grammar froma large corpus of data by the use of techniques that were already fairly wellformalized.
rose colored glasses...
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- Feb 2022
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www.abc.net.au www.abc.net.au
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At the back of Dr Duncan's book on the topic, Index, A History Of The, he includes not one but two indexes, in order to make a point.
Dennis Duncan includes two indices in his book Index, A History of The, one by a professional human indexer and the second generated by artificial intelligence. He indicates that the human version is far better.
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