editorial board of journals: Member of the advisory board of the Journal of Chemical Information and Computer Sciences from 1977 to 1985. (from his own CV - verify?)
invited forward in a textbook?: Automatic Text Summarization edited by Juan-Manuel Torres-Moreno Forward by A Zamora & R Salvador
Significant number of citations:
Pioneering work
- Automatic Text Summarization edited by Juan-Manuel Torres-Moreno Forward by A Zamora & R Salvador (explain early manual methods and Chemical Abstracts Service and their first computer algorithms for producing abstracts early 70's) John Wiley & Sons, 25 Sep 2014 - Computers - 320 pages
https://orcid.org/0000-0003-0293-0829 - small bio - self edited??
Abstracting and Indexing (1971-1975)
Automatic abstracting and indexing. II. Production of indicative abstracts by application of contextual inference and syntactic coherence criteria
JE Rush, R Salvador, A Zamora - Journal of the American …, 1971 - Wiley Online Library
Together with the increasing shortage of qualified abstractors, the factors of time, cost and
value have lent impetus to a trend toward the automatic generation of abstracts and indexes.
This trend has caused increased emphasis to be placed on the abstract as the locus of data …
*Cited by 141 Related articles All 8 versions
Automatic abstracting research at chemical abstracts service
JJ Pollock, A Zamora - Journal of Chemical Information and …, 1975 - ACS Publications
Many attempts have been made to abstract original doc-uments by computer but none has
succeeded in producing abstracts approaching good manual abstracts in quality. Moreover,
given the present state of linguistic theory, it does not seem likely that a program capable of …
*Cited by 131 Related articles All 4 versions
PATHFINDER II (1976)
PATHFINDER II. A Computer Program That Generates Wiswesser Line Notations for Complex Polycyclic Structures
Antonio Zamora Tommy Ebe
Journal of Chemical Information and Modeling 1976,16,1,36-39
DOI: 10.1021/ci60005a012
https://doi.org/10.1021/ci60005a012
SPEEDCOP (1980-1984)
The purpose of the project was to automatically correct spelling errors, predominantly typing errors, in a database of scientific abstracts. For each word in a dictionary, a key is computed consisting of the first letter, followed by the consonant letters in order of occurrence, followed by the vowel letters in order of occurrence, each letter recorded once only, e.g. inoculation will produce a key INCLTOUA, the keys are sorted in order. The key of each word in the text is compared with the dictionary keys and if no exact match is found it compares with keys either side to find a probable match. The use of the key reduces the portion of the dictionary that has to be considered. [1]
- Zamora carried out pioneering research on the SPEEDCOP (SPElling Error Detection correction Project); the project was supported by National Science Foundation (NSF) at Chemical Abstracts Service (CAS) and extracted over 50,000 misspellings from approximately 25,000,000 words of text from seven scientific and scholarly databases.
[2]
Automatic spelling correction in scientific and scholarly text
JJ Pollock, A Zamora - Communications of the ACM, 1984 - dl.acm.org
The study of computerized correction of spelling errors has a relatively long history and
remains of considerable current interest if regularly appearing papers on the topic are any
gauge. Whereas early papers focused on the correction of output from optical character …
*Cited by 321 Related articles All 3 versions
The use of trigram analysis for spelling error detection
EM Zamora, JJ Pollock, A Zamora - Information Processing & Management, 1981 - Elsevier
Work performed under the SPElling Error Detection COrrection Project (SPEEDCOP)
supported by National Science Foundation (NSF) at Chemical Abstracts Service (CAS) to
devise effective automatic methods of detecting and correcting misspellings in scholarly and …
*Cited by 148 Related articles All 3 versions
- Collection and characterization of spelling errors in scientific and scholarly text
JJ Pollock, A Zamora - Journal of the American Society for …, 1983 - Wiley Online Library
Abstract The SPEEDCOP (SPEIIing Error Detection correction Project) project recently
completed at Chemical Abstracts Service (CAS) extracted over 50,000 misspellings from
approximately 25,000,000 words of text from seven scientific and scholarly databases. The …
*Cited by 96 Related articles All 7 versions
http://www.dcs.bbk.ac.uk/~roger/spellchecking.html see below:
based on a chapter from his book English Spelling and the Computer, published by Longman, 1996, and now available online at Birkbeck ePrints. The article was first published in the Journal of the Simplified Spelling Society, Vol 20, No 1, 1996, pp 4-11.
2.3 The SPEEDCOP system
The purpose of the SPEEDCOP project was to devise a way of automatically correcting spelling errors - predominantly typing errors - in a very large database of scientific abstracts (Pollock and Zamora 1984). A key was computed for each word in the dictionary. This consisted of the first letter, followed by the consonant letters of the word, in the order of their occurrence in the word, followed by the vowel letters, also in the order of their occurrence, with each letter recorded only once; for example, the word xenon would produce the key XNEO and inoculation would produce INCLTOUA. The words in the dictionary were held in key order, as illustrated by the small section shown in Figure 2.
PLTDOE plotted
PLTE pellet
PLTEI pelite
PLTIO pilot
PLTNGAI plating
PLTNSUO plutons
PLTNUO pluton
PLTOU poult
Figure 2 A section of the SPEEDCOP dictionary
When the system was given a misspelling, such as platin, it computed the key of the misspelling and found its place in the dictionary. In this example, the key of platin would be PLTNAI, which would come between PLTIO and PLTNGAI. Moving alternately forwards and backwards from that point, it compared the misspelling with each of the words to see if the misspelling could be a single-error variation on that word, until either it had found a possible correction or had moved more than fifty words away from its starting point. The SPEEDCOP researchers found that, if the required word was in the dictionary, it was generally within a few words of the starting point. In the example, the corrector would quickly find the word plating as a possible correction (platin being an omission-error variant of plating).
The Soundex code and the SPEEDCOP key are ways of reducing to a manageable size the portion of the dictionary that has to be considered. Confining the search to words of the same length (plus or minus one) restricts the search even further. The price to be paid is that, if the required word is outside the set of those considered, the corrector is not going to find it.
Natural Language Processing (1989)
Parser for natural language text
A Zamora, MD Gunther, EM Zamora - US Patent 4,887,212, 1989 - Google Patents
An improved natural language text parser is disclosed which provides syntactic analysis of
text using a fast and compact technique. Sequential steps of word isolation, morphological
analysis and dictionary look-up combined with a complement grammar analysis, are applied …
Cited by 351 Related articles All 2 versions
Career
In his retirement Zamora has also self-published a science fiction book[3], and several small books while investigating the Carolina Bays[4][5][6]; in his 2017 paper "A model for the geomorphology of the Carolina Bays" he proposed that the "Carolina Bays are the remodeled remains of oblique conical craters formed on ground liquefied by the seismic shock waves of secondary impacts of glacier ice boulders ejected by an extraterrestrial impact on the Laurentide Ice Sheet".[7] His research was based on geometrical analysis of the Carolina Bays using Google Earth in combination with LiDAR data.[8] The theory is not widely accepted. Many other theories have been proposed to account for their formation.[9][10]. See main article Carolina bay.
https://mysteriousuniverse.org/2017/03/were-the-carolina-bays-formed-by-frozen-debris-from-a-comet-impact/
Geometrical analysis of the Carolina Bays using Google Earth in combination with LiDAR data makes it possible to postulate that the bays formed as the result of impacts, rather than from eolian and lacustrine processes. The Carolina Bays are elliptical conic sections with width-to-length ratios averaging 0.58 that are radially oriented toward the Great Lakes region. The radial distribution of ejecta is one characteristic of impacts, and the width-to-length ratios of the ellipses correspond to cones inclined at approximately 35°, which is consistent with ballistic trajectories from the point of convergence. These observations, and the fact that these geomorphological features occur only on unconsolidated soil close to the water table, make it plausible to propose that the Carolina Bays are the remodeled remains of oblique conical craters formed on ground liquefied by the seismic shock waves of secondary impacts of glacier ice boulders ejected by an extraterrestrial impact on the Laurentide Ice Sheet. Mathematical analysis using ballistic equations and scaling laws relating yield energy to crater size provide clues about the magnitude of the extraterrestrial event. An experimental model elucidates the remodeling mechanisms and provides an explanation for the morphology and the diverse dates of the bays.
https://cosmictusk.com/wp-content/uploads/A-model-for-the-geomorphology-of-the-Carolina-Bays.pdf
References
Zamora, Antonio; Zamora, E. M.; Pollock, Joseph J. (1981). "The use of trigram analysis for spelling error detection". Inf. Process. Manage. 17: 305–316.
Zamora, Antonio (2013). Rise of the Transgenic Queen. Zamora Consulting LLC. ISBN 9780983652359. Zamora, Antonio (2012). Meteorite Cluster Impacts. Zamora Consulting LLC.
Zamora, Antonio (2014). Killer Comet: What the Carolina Bays tell us. Zamora Consulting LLC. ISBN 978-0983652373. Zamora, Antonio (2015). Solving the Mystery of the Carolina Bays. Zamora Consulting LLC. ISBN 9780983652397.
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