Unable to determine - insufficient data
4
Samples Analyzed
14,904
Total Words
1
Languages
poor
Corpus Quality
Writing style compared to average AI output
Intrinsic stylometry metrics
Vocabulary Richness
TTR 0.67
Writing Rhythm
Steady
Sentence Range
words
Signature Punctuation
These texts consistently resist clean ethical resolution, placing characters at crossroads where survival and conscience collide without offering the reader a comfortable verdict.
“「では、己が引剥をしようと恨むまいな。己もそうしなければ、饑死をする体なのだ。」— the servant's logic mirrors the old woman's exactly, yet feels like a fall rather than a triumph”
The texts use fragmented, polyphonic structures — multiple narrators, testimonial frames, interrupted timelines — to destabilize any single authoritative account of events.
“藪の中 sequences four irreconcilable testimonies (woodcutter, priest, bandit, wife, dead husband via medium) with no authorial adjudication between them”
The narrating voice periodically steps forward to comment on its own storytelling choices, creating a self-aware distance that is coolly ironic rather than warmly confessional.
“「作者はさっき、『下人が雨やみを待っていた』と書いた。しかし、下人は雨がやんでも、格別どうしようと云う当てはない。」— the narrator corrects itself mid-story”
Inner states are anatomized with near-clinical exactness, often broken into fractional components or causal chains that feel more like a psychologist's notes than conventional literary interiority.
“「下人は、六分の恐怖と四分の好奇心とに動かされて」— fear and curiosity quantified as percentages; or the bystander's two contradictory impulses catalogued in 鼻”
Physical deterioration — rotting corpses, peeling vermilion paint, a grotesquely long nose, rain-soaked ruins — is rendered with granular sensory specificity that functions as moral atmosphere rather than mere background.
“「肩とか胸とかの高くなっている部分に、ぼんやりした火の光をうけて、低くなっている部分の影を一層暗くしながら、永久に唖の如く黙っていた」”
Punchy, direct sentences
Rich, varied vocabulary
Vibrant, engaging tone
Conversational, approachable style
Steady, reliable voice
Tight, efficient prose
Gray line = average AI output. Purple bar = their writing. The bigger the difference, the more distinctive the voice.
All four samples are drawn from Akutagawa Ryūnosuke's published fiction — this corpus reflects a single canonical literary author's voice, not the user's own writing.
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