corpus_tools
v1.0.0
Published
Corpus Tools is a simple NPM package for performing corpus linguistic analysis.
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Corpus Tools
Corpus Tools is a simple NPM package for performing corpus linguistic analysis. This package includes the next tools:
Getting started
Install
npm install corpus-tools
Use
const ct = require('./index.js');
const text = 'Colorless green ideas sleep furiously';
const tokensList = ct.tokens(text);
console.log(tokensList); // [ 'Colorless', 'green', 'ideas', 'sleep', 'furiously' ]
With 'fs' module:
const fs = require('fs');
const ct = require('./index.js');
filePath = './path.txt';
const text = fs.readFileSync(filePath, 'utf-8');
const tokensList = ct.tokens(text);
Examples
TOKENS
Extracting tokens from a text:
const tokensList = ct.tokens(text);
console.log(tokensList); // [ 'Colorless', 'green', 'ideas', 'sleep', 'furiously' ]
Counting tokens in text:
const tokensCount = tokensList.length;
console.log(tokensCount); // 5
TYPES
Extracting types from a text:
const typesList = ct.types(text);
console.log(typesList); // { colorless: 1, green: 1, ideas: 1, sleep: 1, furiously: 1 }
Counting types:
const typesCount = Object.keys(typesList).length;
console.log(typesCount); // 5
Absolute frequency of a type:
console.log(typesList["sleep"]); // 1
Lexical richness of a text:
const lexicalRichness = ct.richness(text);
console.log(lexicalRichness); // 1
CONCORDANCE
'KWIC' (KeyWord In Context):
const concordance = ct.concordance(text, "sleep", 12);
console.log(concordance); // [ 'green ideas sleep furiously' ]
N-GRAMS
2-grams:
const brigrams = ct.n_gram(text, 2);
console.log(brigrams); // [ 'Colorless green', 'green ideas', 'ideas sleep', 'sleep furiously' ]
3-grams to 4-grams:
const n_grams = ct.n_gram(text, 3, 4);
console.log(n_grams);
/* [
'Colorless green ideas',
'Colorless green ideas sleep',
'green ideas sleep',
'green ideas sleep furiously',
'ideas sleep furiously'
] */
CLUSTERS
Left clusters:
const clustersLeft = ct.clusters(text, "ideas", "l", 2, 3);
console.log(clustersLeft); // [ 'ideas sleep', 'ideas sleep furiously' ]
Right clusters:
const clustersRigth = ct.clusters(text, "furiously", "r", 2, 4);
console.log(clustersRigth);
/* [
'green ideas sleep furiously',
'ideas sleep furiously',
'sleep furiously'
] */
License
Copyright (c) 2021, Pablo G. Guízar [email protected].
Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee is hereby granted, provided that the above copyright notice and this permission notice appear in all copies.
THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.