| Software Example (methodology) |
| Software Example (methodology) |
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EXAMPLE 3- VERSE DRILL-DOWN This screen is a verse word-by-word analysis to see how an example verse should be 'dated': Illustration below: [1] Word#, best matching author, and basic morph-classing. Please keep in mind that each morph-tag isn't being measured simply for each author. More complex, the morph evaluation is in its environment for that author. [2] Across the top are analyzed 'authors' sorted by resulting dating, early to late. Actual author is left-most. [3] The coloration is relative to the word's 'best-fit'. Red/yellow is a poor fit vs. blue/purple being great. You look at the overall word-series pattern (up/down), and then look across for the general period-author fit. This verse is not likely early (PAUL) and not late (PAS/PETER/JAMES). Even though the verse overall isn't a good Matthew fit, the issue is primarily the final words, which may have been added around the time of the pastorals (PAS). |
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EXAMPLE 4- TOTAL BOOK ANALYSIS This screen looks at all verses in the book: verses across and chapters down: Illustration below: [1] What I've done here is ask for the Matthew verses dated 'late' or similar to the Pastorals, Peter, and James. The far left is the percentage of verses meeting the request. The colored blocks are the two late-age groups. In this case, the percent of aged verses per chapter is minor, except for chapter 6 where almost 40% are late-dated. Chapter 6 follows the beatitudes in chapter 5, and is an instruction expansion along with the Lord's Prayer. Given the pattern, it's possible another source to Matthew was 'folded-in' in the 90s, after Matthew's introduction. |
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