Philip M. Parker has created a computerized system to automatically compile data into book.
Philip M. Parker Computer-Generated-Books to automatically compile data into book.
Philip Parker has, by his estimation, authored over 1 million books. A series of quotation collections subtitled Webster’s Quotations, Facts and Phrases, each volume assembling quotations which feature a specific English word. Excerpts are drawn from public domain literary sources and reference works, and from Wikipedia articles (identified as “WP” after a quotation).The English professor Nicholas Royle noted that Veering: Webster’s Quotations, Facts and Phrases contained quotations unrelated to the word “veering” or using “Veer” only as a proper name; he described the book as “quite bizarre” and “absurdly expensive”.Philip M. Parker has created a computerized system to automatically compile data into book.
All books are self-published paperbacks. Ninety-five percent of the ordered books are sent out electronically; the rest are print on demand.Parker plans to extend the programs to produce romance novels.
His name is on their covers, but he hasn’t actually written them all — that chore falls to a machine.Economic-development initiatives
Beginning in 1998, Parker launched literacy initiatives, based on his consultations with the World Bank, designed to create educational materials for under-served languages. These have included programs which can produce scripts for animated game shows intended to teach English to non-native speakers, some of which are available on YouTube. Recently he has collaborated with various projects sponsored by the Bill & Melinda Gates Foundation. In one project, Parker worked with Plant Resources of Tropical Africa (PROTA) by assisting researchers to more quickly synthesize the dispersed information on useful tropical plants. This resulted in the creation of a public access portal covering the biodiversity of plants in Africa.Sources for the content of some books are electronic databases. These sources are cited in the published works.
Parker publishes the automated books through Icon Group International,
Parker has developed a small arsenal of algorithms capable of
automatically generating textbooks, crossword puzzles, poems and books
topics Parker’s automatically generated books target niche markets.
“EdgeMaven Media: Automated Authoring and Content Creation”.
Edgemaven.com. San Diego: Icon Group International, Inc. 2010. Archived
from the original on 2010-08-03. Retrieved 2010-08-03.
Strauss, Victoria (2009-06-19). “The most published author in the
history of the planet”. Writer Beware. Archived from the original on
2010-08-03. Retrieved 2010-08-03.
Parker’s INSEAD web page.
“The Editor – Philip M. Parker is the instigator behind Webster’s Online
Dictionary: The Rosetta Edition (www.webster-dictionary.org/)”.
websters-online-dictionary.org. Icon Group International, Inc. Archived
from the original on 2010-08-28. Retrieved 2010-08-29.
“EdgeMaven Media – Case Studies – Web Site Creation –
Webster’s Online Dictionary
(www.webster-dictionary.org/).”. Edgemaven.com. San Diego: Icon
Group International, Inc. 2010. Archived from the original on
2010-08-31. Retrieved 2010-08-31.
“Fascinating facts about Philip Parker inventor of the W-O-D Project in
1999.”. Ideafinder.com. Vaunt Design Group. 2006-11-01. Archived from
the original on 2010-08-31. Retrieved 2010-08-31.
“Webster’s Online Dictionary. Definition: dictionary”.
websters-online-dictionary.org. Icon Group International, Inc. Archived
from the original on 2010-08-29. Retrieved 2010-08-29.
James N. Parker; Philip M. Parker (eds.). The Official Patient’s Sourcebook on Spinal Stenosis. ISBN 978-0597831942.
Heneghan, Michael A.; McFarlane, Ian G. (March 2004). “Book review. The
Official Patient’s Sourcebook on autoimmune hepatitis: Edited by James
N. Parker and Philip M. Parker. 192 pp. $28.95. Icon Health
Publications, San Diego, California, 2002. ISBN 0-597-83418-0” (PDF).
Gastroenterology 126 (3): 929. doi:10.1053/j.gastro.2004.01.050. ISSN
0016-5085. Archived from the original on 2010-08-28. Retrieved
Reference Books, Reports and Educational Titles (not fiction or literature).
Patent on “Long Tail” for automated content authorship.
As the video shows, I am working on reference books, reports and educational titles (not fiction or literature).
“algorithms” depend on the genre. The most advanced use parametric,
non-parametric as well as Bayesian econometrics, graph theory, and meta
analysis (mostly coupled with some specialized computational linguistics
and editorial rules that are required within certain genres) — each
piece is rather straight forward; the combination allows complexity. In
terms of IT or programming languages, there is no rigidity to this –
again it depends on the genre. If animation is the goal, then code is
written to write MEL scripts, etc., which can automate Maya, which can
in turn automate rendering, lights, etc., via macros. This works well,
but for only certain aspects of that genre.
titles are 98 to 100 percent computer automated (e.g. business titles,
crosswords, etc.). For health titles, only the format editing and
production side is automated. The text in the health books was written
by medical professionals and edited by a professional editor; the
computer expedited formatting using about 50 odd routines (the preface,
chapter intros, glossaries, indexes, headings, margins, etc.);
highlights are made to sources generally not known to internet-averse
readers or medical practitioners (designed for medical libraries with
internet training services).
Currently, some 2 percent of the
titles rely on government sources for text. None perform a google
search, spider the net, etc. Some 98 percent of the titles are wholly
generated via automation programs; the applications create original
information or content that cannot be found elsewhere (e.g. maximum
likelihood trade estimates, latent demand forecasts via a decision
calculus approach, Chinese and English crosswords, etc.) – offline
applications with no interaction to the internet. In total, there are
about 17 genres created this way (about 200,000 titles or so since
Working on Education Titles
It can take several years to set up an application
(including all human inputs, licensed sound effects, textures, models,
mocap, data, or decision rules that go into any genre-specific
application). Platforms (e.g. Maya) per-exist. The incremental, or
marginal creation time per title is mentioned in the video.
genres are blind or peer reviewed and/or vetted by users (e.g.
librarians or end-users) before they are put into print. The games are
played by kids to see what they like. For 3D games, a per-existing
rendering engine is like a blank word document. The rendering engine is
not created from scratch, but licensed (like MS Word).
mostly now working on education titles for Asian, African, and Native
American languages that do not have educational materials (games,
supplements, texts, videos, mobile phone books, etc.) written in or
augmented by their languages. ~
see a very small percent of the linguistic material used. Watch for a
major update and linguistic augmentation to the dictionary this summer
when I will also be introducing EVE. She is an “economically viable
entity”. A step beyond a chat bot, using some of the algorithms
mentioned above (with a bit of utility theory and optimal control theory
There is no “commercial” or “public” or “open source” software that can be used by the general public.
Some applications are terabytes large. I am working on a relatively small poetry application for public use — to be released when completed (probably in a year), which will do several forms of poetry, on any topic the user desires; and allow the user to request “another” if they do not like the first one written, or “change that line”, etc.
I am not actively working on fiction novels as a priority, though the process is in place for romance novels or similar formulaic types of literature. Fun to do, but not very useful.
There are many other areas I am working on, as there are multiple avenues to explore, especially in the areas of new media (mobile and fixed), but more so in high-end analytic’s and knowledge discovery (i.e. generating knowledge that could not be created otherwise) as applied to business, language and public services (e.g. criminology) – where unmanageable, sparse, disintegrated or larger data sets (off-line) result in new knowledge structures usable by decision makers (e.g. connecting the dots where humans have difficulty doing so, for lack of time or expertise).
Thanks for watching the video.
Howto & Style
Book Writing and Publishing
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This is largely a collection of URL links. The author is inconsistent in explaining what is available at each site.
Sometimes there is a lot of explanation and at other times none. Putting the term “spinal stenosis” in Google, Yahoo! or other widely used search engines can lead to equal, if not better results.
Hepatology, or hepatobiliary medicine, encompasses the study of the liver, pancreas, and biliary tree, and is traditionally considered a sub-specialty.