Paste a biblical, Book of Mormon, Doctrine and Covenants, or other
passage below. The analyzer looks for mirrored structure using wording,
related meanings, contrasts, concepts, and reverse-order relationships.
Analyze a passage to receive an independent AI assessment.
You're right. This is not about chiasmus.
The Alma 36 stress test we were discussing is about whether the analyzer can properly handle long, scripture-style text without incorrectly interpreting its natural linguistic patterns as evidence of AI generation.
The relevant issues are things like:
long sentences
repeated words and phrases
archaic wording such as yea, behold, unto, thou, thee
scripture/formulaic expressions
verse numbering
repeated theological terminology
unusual sentence structures
high lexical repetition
quoted or narrative passages
English/Tagalog mixed text
Chiasmus would be a separate structural feature—a deliberate A-B-C-B-A type of literary arrangement. We don't need to detect or analyze chiasmus unless you specifically want that added.
So for the V3 analyzer, the goal should remain:
Analyze Alma 36 accurately as a long religious/scriptural passage, while preventing its legitimate scriptural characteristics from being falsely treated as AI indicators.
If you were referring to something else by “this isn't about chiasmus,” tell me what part you want analyzed and I'll focus specifically on that.
we are supposed to construct a chiasmus text study that will detect and hightlight the chiasmus text or any parallel of the pasted text.
Ah, yes — I misunderstood the purpose of the project. The V3 analyzer should be a Chiasmus & Parallelism Text Study tool, not an AI-text detector.
The intended tool should take pasted text—such as Alma 36—and:
Detect possible chiasmus structures
A–B–C–B′–A′
A–B–C–C′–B′–A′
A–B–B′–A′
longer nested structures
Detect parallelism
repeated grammatical structures
repeated concepts
synonymous parallels
contrasting/antithetical parallels
repeated words with meaningful positional correspondence
Highlight the matching portions directly in the text.
For example:
A My son
B give ear to my words
C keep the commandments of God
C' keep the commandments
B' remember my words
A' my son
Show a visual structure, such as:
A My son
B give ear
C remember God
D repentance
C' remember God
B' give ear
A' My son
Compare the paired text, rather than simply looking for identical words.
For example, it should be able to recognize that:
“darkness” ↔ “light”
may form a meaningful contrast, even though the words aren't identical.
Score candidate structures, because the program cannot reliably declare that every apparent pattern is intentional chiasmus.
Allow the user to click a detected structure and have the corresponding portions highlighted in the original passage.
For Alma 36 specifically
The tool should be capable of examining the entire chapter and finding candidate literary structures, rather than merely saying that the passage contains repeated phrases.
And importantly, we should distinguish:
Chiasmus
A
B
C
D
C'
B'
A'
from simple parallelism
A
A'
and contrast
light ↔ darkness
joy ↔ sorrow
life ↔ death
righteousness ↔ wickedness
and repetition
remember
...
remember
Those should be reported separately.
So I would rebuild the project as:
CHIASMUS & PARALLELISM TEXT STUDY — V1
with four major panels:
1. Pasted Text
→ paste any scripture, book, speech, poem, essay, etc.
2. Detected Patterns
→ Chiasmus
→ Parallelism
→ Contrast
→ Repetition
→ Synonymous concepts
3. Highlighted Text
→ matching/paired portions highlighted with corresponding labels such as A / A′, B / B′, C / C′
4. Structure Map
→ an interactive visual representation of the proposed structure.
And I would make the detection context-sensitive, so a long passage like Alma 36 isn't reduced to simple word matching.
If you want,
I can now rebuild the Blogger-ready tool from scratch specifically for Chiasmus & Parallelism detection, using Alma 36 as the primary test passage.
Rebuild the Blogger-ready tool from scratch specifically for Chiasmus & Parallelism detection
Yes. Let's rebuild it around the actual purpose: a standalone Blogger Chiasmus & Parallelism Text Study tool.
The design below treats chiasmus as inverted/ concentric parallelism, with the central element/pivot being important, while keeping ordinary parallelism and antithetical parallelism separate. This distinction is important because not every repetition or similarity constitutes a chiasm.
The detector therefore produces candidate structures, rather than claiming that every detected pattern is intentional. That is especially important for long passages such as Alma 36. Computational approaches to this problem also benefit from combining lexical and semantic similarity rather than relying only on exact word repetition.
Blogger-ready Chiasmus & Parallelism Text Study V1
Replace your previous analyzer completely with this code. It is self-contained—no API, Cloudflare Worker, external JavaScript library, or external script is required.
Chiasmus & Parallelism Text Study
Detect possible inverted parallelism, chiasmus, parallel lines,
repetition, contrast, and corresponding textual elements.
Paste a passage below and examine its possible literary structure.
1. Paste Your Text
Ready. Paste a passage and click Analyze Structure.
Text Statistics
Words
0
Lines
0
Sentences
0
Parallel Pairs
0
Chiasm Candidates
0
Structure Legend
A / A′ — Outer correspondence
B / B′ — Inner correspondence
C / C′ — Deeper correspondence
D / D′ — Deepest correspondence
X — Central pivot
2. Possible Chiasmus / Inverted Parallelism
No analysis performed yet.
3. Possible Parallelism
No analysis performed yet.
4. Highlighted Text Structure
Analyze a passage to see corresponding sections highlighted here.
5. Structure Map
A structure map will appear after analysis.
6. Line-by-Line Analysis
#
Text
Words
Possible Correspondences
Type
Important:
This tool identifies possible literary
correspondences. A computer can detect textual symmetry,
repeated concepts, similar wording, contrasts, and positional
patterns, but it cannot prove that an author intentionally
constructed a chiasmus.
A strong candidate should normally contain meaningful
correspondences, an identifiable inverted order, and a coherent
literary unit rather than merely coincidental repeated words.
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