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Open AccessArticle

A Deep-Language Mathematical Analysis of Gospels, Acts and Revelation

1
Dipartimento di Elettronica Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy
2
Istituto di Cristallografia, Consiglio Nazionale delle Ricerche (IC-CNR), 70126 Bari, Italy
*
Author to whom correspondence should be addressed.
Religions 2019, 10(4), 257; https://doi.org/10.3390/rel10040257
Received: 14 March 2019 / Revised: 3 April 2019 / Accepted: 5 April 2019 / Published: 9 April 2019
(This article belongs to the Special Issue Current Trends in New Testament Study)
The paper aims at casting some light on the interrelations among the Gospels, Acts and Revelation. We do not consider words ranking and their frequency of occurrence, as largely done in the literature, but we analyze, statistically, some mathematical aspects of the texts, which the authors were not conscious of. We use mathematical methods developed for specifically studying deep-language parameters of literary texts, such as the number of words per sentence, the number of characters per word, the number of words per interpunctions, the number of interpunctions per sentence, all very likely peculiar to the writer’s style, after having recalled the punctuation in classical languages. First, we consider the full texts of the canonical Gospels, Acts and Revelation, then the partial texts attributable to the Triple Tradition (Matthew, Mark and Luke), to the Double Tradition (Matthew and Luke), Own Tradition (Matthew and Luke) and Q source. The mathematical/statistical tool used confirms and reinforces some general results concerning the Gospels, Acts, Revelation and Q source, but also evidences some interesting differences concerning the number of words per sentence and words per interpunctions, likely casting some light on the capacity of the short-term memory of the readers/listeners of these texts. All these New Testament writings fit very well in the larger Greek literature of the time. The existence of a proto gospel seems more probable than other possible hypotheses. View Full-Text
Keywords: Acts; canonical Gospels; characters; Double Tradition; interpunctions; John; Luke; Mark; Matthew; own tradition; Q Source; Revelation; statistics; sentences; Triple Tradition; words; word interval Acts; canonical Gospels; characters; Double Tradition; interpunctions; John; Luke; Mark; Matthew; own tradition; Q Source; Revelation; statistics; sentences; Triple Tradition; words; word interval
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Matricciani, E.; Caro, L.D. A Deep-Language Mathematical Analysis of Gospels, Acts and Revelation. Religions 2019, 10, 257.

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