LixityVersion 0.4.8Open source · AGPL-3.0
Project

Pride and Prejudice

Style & Tense Analysis · English

3 chapters · 3,345 words

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Public-domain example: Pride and Prejudice

Generated with Lixity 0.4.8. The dashboard shows the first 3 chapters of Pride and Prejudice (Jane Austen); the complete work is available as a PDF analysis report.

The opening chapters are reproduced from a public-domain Project Gutenberg edition. The report uses the real chapter, paragraph and style interactions of the renderer, without server functions; it accepts no uploads and saves no edits.

Short excerpts and language-dependent heuristics support human review. This example is not a benchmark, a calibration corpus or a literary quality verdict.

Start your review

Read the passages behind the measurements. Judge each pattern in its scene and narrative voice.

Present Past Mixed Neutral noticeable / strong friction ↑ back to top

Densities count word-pattern matches per 1,000 words, not percentages. In very short paragraphs, a few matches produce high values. These patterns are not a full grammatical analysis.

1. Chapter I

849 words · 37 paragraphs · Present · 3 flags · l. 9–127

2. Chapter II

798 words · 27 paragraphs · Mixed · 4 flags · l. 128–231

3. Chapter III

1,698 words · 23 paragraphs · Past · 7 flags · l. 232–402
Scope
Rhythm
Language
Vocabulary
Style

Flagged passages

LevelChapterl.Excerpt

Sentence lengths

≤ 641 · 20.7%
7–1574 · 37.4%
16–2540 · 20.2%
> 2543 · 21.7%

Scenes & style registers

Each scene is measured separately. Registers and target ranges are project choices, not quality judgments. Chapters serve as scenes when no dividers are present. Set assignments and targets in lixity.toml.

Word and sentence counts show the sample size. HD-D is unavailable below 100 words; sentence variation needs at least two sentences. Standard errors are approximations, not validated confidence intervals. A dash means unavailable; even an observed zero does not establish certainty.

Scenes & style registerswordssentencesASLDialogue
Chapter I · Scene 1 Unassigned8495914.3978.8 %
Chapter II · Scene 1 Unassigned7985315.0671.2 %
Chapter III · Scene 1 Unassigned16988519.9834.0 %
Chapter I · Scene 1 · Unassigned · words: 849 · sentences: 59

Open containing chapter: Chapter I→

Scenes & style registersValueStandard error
ASL words per sentence14.391.75
Staccato % of sentences28.815.90
Long sentences % of sentences13.564.46
Sentence CV coefficient0.930.14
Dialogue % of words78.801.40
Function words % of words52.651.71
Perception filters per 1,000 words2.361.67
Modals per 1,000 words22.385.13
Passive per 1,000 words5.892.63
Nominal style per 1,000 words23.565.27
Adjectives per 1,000 words9.423.33
Long words % of words12.961.15
Starter entropy bit4.560.14
1st-person starts % of sentences10.173.93
Guiraud R index11.020.19
HD-D index0.86—
Chapter II · Scene 1 · Unassigned · words: 798 · sentences: 53

Open containing chapter: Chapter II→

Scenes & style registersValueStandard error
ASL words per sentence15.061.29
Staccato % of sentences15.094.92
Long sentences % of sentences13.214.65
Sentence CV coefficient0.630.08
Dialogue % of words71.181.60
Function words % of words51.381.77
Perception filters per 1,000 words1.251.25
Modals per 1,000 words15.044.34
Passive per 1,000 words0.00—
Nominal style per 1,000 words20.055.01
Adjectives per 1,000 words7.523.07
Long words % of words13.411.21
Starter entropy bit4.810.16
1st-person starts % of sentences16.985.16
Guiraud R index10.940.19
HD-D index0.86—
Chapter III · Scene 1 · Unassigned · words: 1698 · sentences: 85

Open containing chapter: Chapter III→

Scenes & style registersValueStandard error
ASL words per sentence19.981.61
Staccato % of sentences17.654.13
Long sentences % of sentences32.945.10
Sentence CV coefficient0.740.08
Dialogue % of words34.041.15
Function words % of words48.411.21
Perception filters per 1,000 words1.771.02
Modals per 1,000 words10.602.50
Passive per 1,000 words14.132.89
Nominal style per 1,000 words25.913.91
Adjectives per 1,000 words17.083.17
Long words % of words19.320.96
Starter entropy bit5.000.13
1st-person starts % of sentences10.593.34
Guiraud R index13.780.17
HD-D index0.86—

Style

Style fingerprint

z-score −2.5 … +2.5

Read each row as a chapter and each column as a feature. Negative z* means below the manuscript baseline; positive means above. Color shows deviation, not quality. ● marks the core's FDR-selected results; a dash means unavailable. Chapters below 100 words and sentence-distribution features below 5 sentences stay without comparison values (–).

BH · q = 0.05 · |z*| ≥ 2.5
ChapterASLStaccatoLong sentencesSentence CVDialogueFunction wordsPerception filtersModalsPassiveNominal styleAdjectivesLong wordsStarter entropy1st-person startsGuiraud RHD-D
1. Chapter I-0.3+1.60+0.9+0.7+0.5+0.3+0.9000-0.3-0.8-0.10-1.5
2. Chapter II0-0.4-0.1-0.600-0.40-0.7-0.6-0.500+1.2-0.30
3. Chapter III+2.60+3.8●0-3.3●-1.30-0.6+0.9+0.4+1.8+5.1●+0.60+13.6●+0.7

statistically expected false positives: ~0.6 · nominal FDR selection: 4

Style reference

The reference band is this manuscript's median ± 2 robust standard deviations, not an external target or a confidence interval. Counts show deviation-threshold hits, not FDR decisions. Select a feature to inspect its chapters.

ASLmedian 15.06 · n = 3
1
Staccatomedian 17.65 · n = 3
Long sentencesmedian 13.56 · n = 3
1
Sentence CVmedian 0.74 · n = 3
Dialoguemedian 71.18 · n = 3
1
Function wordsmedian 51.38 · n = 3
Perception filtersmedian 1.77 · n = 3
Modalsmedian 15.04 · n = 3
Passivemedian 5.89 · n = 3
Nominal stylemedian 23.56 · n = 3
Adjectivesmedian 9.42 · n = 3
Long wordsmedian 13.41 · n = 3
1
Starter entropymedian 4.81 · n = 3
1st-person startsmedian 10.59 · n = 3
Guiraud Rmedian 11.02 · n = 3
1
HD-Dmedian 0.86 · n = 3

Style dimensions

3D Style Space & Trajectory
Chapter scores
ChapterD1D2D3flagged chapters
1. Chapter I-2.72+1.900.00flagged
2. Chapter II-0.59-2.940.00flagged
3. Chapter III+3.30+1.040.00flagged
Style dimensions 158% variance
ASLLong wordsStarter entropyDialogueFunction wordsModals
flagged chapters: Chapter 1, Chapter 3
Style dimensions 242% variance
StaccatoSentence CVPerception filters1st-person startsASLLong words
flagged chapters: Chapter 2
Style dimensions 30% variance
1st-person startsDialogueHD-DGuiraud RModalsNominal style

Structural diagnostics & stylistic drift

Explore candidate changes between chapters, upward/downward trends and differences between manuscript halves. Settings and data coverage affect the signals; no selection does not prove stability.

Candidate stylistic changes12

Adjectives
From chapter 3
ASL
From chapter 3
Dialogue
From chapter 2 From chapter 3
1st-person starts
From chapter 2 From chapter 3
Function words
From chapter 3
Guiraud R
From chapter 3
Long sentences
From chapter 3
Long words
From chapter 3
Modals
From chapter 2 From chapter 3
Nominal style
From chapter 2 From chapter 3
Passive
From chapter 2 From chapter 3
Staccato
From chapter 2

Monotonic stylistic drift (Mann-Kendall)0

ASL
↗ Increasing τ=+1.00 p=0.296 Tendency (p ≥ 0.05)
Dialogue
↘ Decreasing τ=-1.00 p=0.296 Tendency (p ≥ 0.05)
Function words
↘ Decreasing τ=-1.00 p=0.296 Tendency (p ≥ 0.05)
Modals
↘ Decreasing τ=-1.00 p=0.296 Tendency (p ≥ 0.05)
Long words
↗ Increasing τ=+1.00 p=0.296 Tendency (p ≥ 0.05)
Starter entropy
↗ Increasing τ=+1.00 p=0.296 Tendency (p ≥ 0.05)
HD-D
↗ Increasing τ=+1.00 p=0.296 Tendency (p ≥ 0.05)

Early vs. late distribution shift0

✓ No nominal distribution signals selected between chapter halves; this does not establish equal distributions.

Chapter matrix

#ChapterwordsASLdialoguefunction wordsPast/Presentflagged deviation