@stdlib/datasets-spache-revised

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Revised Spache

A list of simple American-English words (revised Spache).

Installation

npm install @stdlib/datasets-spache-revised

Usage

var words = require( '@stdlib/datasets-spache-revised' );

words()

Returns a list of simple American-English words (revised Spache).

var data = words();
/* returns
    [
        'a',
        'able',
        'about',
        'above',
        ...
    ]
*/

Examples

var floor = require( '@stdlib/math-base-special-floor' );
var randu = require( '@stdlib/random-base-randu' );
var words = require( '@stdlib/datasets-spache-revised' );

var data = words();
var len = data.length;
var idx;
var i;

// Select random words from the list...
for ( i = 0; i < 100; i++ ) {
    idx = floor( randu()*len );
    console.log( data[ idx ] );
}

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References

• Spache, George. 1953. "A New Readability Formula for Primary-Grade Reading Materials." The Elementary School Journal 53 (7): 410–13. doi:10.1086/458513.
• Klare, George R. 1974. "Assessing Readability." Reading Research Quarterly 10 (1). Wiley, International Reading Association: 62–102. http://www.jstor.org/stable/747086.
• Stone, Clarence R. 1956. "Measuring Difficulty of Primary Reading Material: A Constructive Criticism of Spache's Measure." The Elementary School Journal 57 (1). University of Chicago Press: 36–41. http://www.jstor.org/stable/999700.
• Perera, Katherine. 2012. "The assessment of linguistic difficulty in reading material." In Linguistics and the Teacher, edited by Ronald Carter, 101–13. Routledge Library Editions: Education. Taylor & Francis. https://books.google.com/books?id=oNXFQ9Gn6XIC.

License

The data files (databases) are licensed under an Open Data Commons Public Domain Dedication & License 1.0 and their contents are licensed under Creative Commons Zero v1.0 Universal. The software is licensed under Apache License, Version 2.0.

See Also

• @stdlib/datasets-spache-revised-cli: CLI package for use as a command-line utility.

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Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

Community

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Copyright

Copyright © 2016-2024. The Stdlib Authors.