flemming-it
2c3a6be513
Composite readability/complexity score: Flesch-DE + Verweistiefe
+ verb-distance. Reuse-lens: any project that needs to flag
"this text is hard to read" — government letters, AGB, scientific
abstracts.
Flesch-DE follows the Amstad adaptation:
FRE_de = 180 − ASL − (58.5 × ASW)
ASL = avg sentence length (words); ASW = avg syllables per word.
A FRE_de around 30 reads as "schwer"; below 10 is technical-jargon
territory.
Verweistiefe uses an optional graph input (output of
graph.citation_extract). i.V.m.-edges count double because they
force the reader to chase a second norm.
composite_frust scales both to 0..10 and averages, so the output
is a single number the heatmap can plot against the §6 Studie
"Frust"-Achse.
Pure in-WASM, zero filesystem, zero network.
Reserved for next versions:
- 0.2: noun-density and Schachtelsatz penalty
- 0.3: per-paragraph breakdown so the UI can highlight the
most-frustrating Absatz
Signed-off-by: flemming-it <sf@flemming.it>
36 lines
857 B
TOML
36 lines
857 B
TOML
[package]
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name = "text_readability_score"
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version = "0.1.0"
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edition = "2024"
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authors = ["Dr. Stefan Flemming <chain@flemming.ai>"]
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license = "Apache-2.0"
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publish = false
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description = "F∆I module — composite readability/complexity score (Flesch-DE + depth + verb-distance)"
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repository = "https://git.flemming.ws/chain-modules/text-readability-score"
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rust-version = "1.85"
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[lib]
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crate-type = ["cdylib", "rlib"]
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[dependencies]
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chain-module-sdk = { git = "https://git.flemming.ai/fai/chain-module-sdk-rust.git", branch = "main" }
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serde = { version = "1", features = ["derive"] }
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serde_json = "1"
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[profile.release]
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opt-level = "s"
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lto = true
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codegen-units = 1
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strip = "symbols"
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[lints.rust]
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unsafe_op_in_unsafe_fn = "warn"
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[lints.clippy]
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unwrap_used = "deny"
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expect_used = "deny"
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panic = "deny"
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print_stdout = "deny"
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print_stderr = "deny"
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[workspace]
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