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coleman-liau

Formula to detect the ease of reading a text according to the Coleman-Liau index.

Contents

• What is this?
• When should I use this?
• Install
• Use
• API
  • colemanLiau(counts)
• Types
• Compatibility
• Related
• Contribute
• Security
• License

What is this?

This package exposes an algorithm to detect ease of reading of English texts.

When should I use this?

You’re probably dealing with natural language, and know you need this, if you’re here!

This algorithm isn’t based on syllabbles compared to some other algorithms, which means it’s quicker to calculate.

Install

This package is ESM only. In Node.js (version 14.14+, 16.0+), install with npm:

npm install coleman-liau

In Deno with esm.sh:

import {colemanLiau} from 'https://esm.sh/coleman-liau@2'

In browsers with esm.sh:

<script type="module">
  import {colemanLiau} from 'https://esm.sh/coleman-liau@2?bundle'
</script>

Use

import {colemanLiau} from 'coleman-liau'

// For:
//
// Existing computer programs that measure readability are based largely upon
// subroutines which estimate number of syllables, usually by counting vowels.
// The shortcoming in estimating syllables is that it necessitates keypunching
// the prose into the computer.
// There is no need to estimate syllables since word length in letters is a
// better predictor of readability than word length in syllables.
// Therefore, a new readability formula was computed that has for its predictors
// letters per 100 words and sentences per 100 words.
// Both predictors can be counted by an optical scanning device, and thus the
// formula makes it economically feasible for an organization such as the U.S.
// Office of Education to calibrate the readability of all textbooks for the
// public school system.
//
// Containing 5 sentences, 119 words, and 639 letters or digits.
colemanLiau({sentence: 5, word: 119, letter: 639}) // => 14.53042…

API

This package exports the identifier colemanLiau. There is no default export.

colemanLiau(counts)

Given an object containing the number of words (word), the number of sentences (sentence), and the number of letters (letter) in a document, returns the grade level associated with the document.

counts

Counts from input document.

counts.sentence

Number of sentences (number, required).

counts.word

Number of words (number, required).

counts.letter

Number of letters (number, required).

Returns

Grade level associated with the document (number).

Types

This package is fully typed with TypeScript. It exports the additional type Counts.

Compatibility

This package is at least compatible with all maintained versions of Node.js. As of now, that is Node.js 14.14+ and 16.0+. It also works in Deno and modern browsers.

Related

• automated-readability — uses character count instead of error-prone syllable parser
• dale-chall-formula — uses a dictionary, suited for higher reading levels
• flesch — uses syllable count
• flesch-kincaid — like flesch-formula, returns U.S. grade levels
• gunning-fog — uses syllable count, hard to implement with a computer (needs POS-tagging and Named Entity Recognition)
• smog-formula — like gunning-fog, without needing advanced NLP
• spache-formula — uses a dictionary, suited for lower reading levels

Contribute

Yes please! See How to Contribute to Open Source.

Security

This package is safe.

License

MIT © Titus Wormer