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ngram-natural-language-generator

Takes in text/file(s)/stream(s) and generates random sentences that sound like they could have been in the original text using a bigram generator. Surprisingly works on most languages and writing styles.

You can experiment with your own texts here http://cesine.github.io/ngram-natural-language-generator/samples

Usage

Commandline

``bash
$ npm install ngram-natural-language-generator --save
$ ./index.js samples/jaberwocky.txt
`

Browser

`bash
$ bower install ngram-natural-language-generator --save
`

There is an example browser use in samples/index.html.

`html



`

Node

From file:

`javascript
var generator = require('ngram-natural-language-generator').generator;

generator({
filename: 'samples/jabberwocky.txt',
model: {
maxLength: 100,
minLength: 50
}
}, function(err, sentence){
console.log(sentence);
// One two. Callooh. Beware the borogoves And the claws that bite the Jabberwock my
// beamish boy. One two. One two. And through the mome raths outgrabe. And stood The
// frumious Bandersnatch. He took his joy. And the borogoves And the claws that bite the
// wabe All mimsy were the Jabberwock with eyes of flame Came whiffling through and the
// slithy toves Did gyre and through The Jabberwock. Twas brillig and shun The Jabberwock
// my son. Beware the borogoves And the mome raths outgrabe. Beware the Jabberwock. Come
// to my son.
});
`

From text:

`javascript
var generator = require('ngram-natural-language-generator').generator;

generator({
text: 'Colorless green ideas sleep furiously.',
model: {
maxLength: 100,
minLength: 50
}
}, function(err, sentence){
console.log(sentence);
});
`

From web url:

`javascript
var generator = require('ngram-natural-language-generator').generator;
var http = require('http');

http.get('http://www.jabberwocky.com/carroll/jabber/jabberwocky.html', function(res) {
generator({
stream: res
}, function(err, sentence){
console.log(sentence);
});
});

`

From tokens:

If you're working with a language which doesn't tokenize on whitespace or unicode punctionation you can supply the tokens.


`javascript
var generator = require('ngram-natural-language-generator').generator;

generator({
tokens: ['その', '酩酊', '状態を', '愛する', 'ことに', 'よって'],
model: {
maxLength: 100,
minLength: 50
}
}, function(err, sentence){
console.log(sentence);
});
``

[npm-url]: https://npmjs.org/package/ngram-natural-language-generator
[npm-image]: https://badge.fury.io/js/ngram-natural-language-generator.svg
[travis-url]: https://travis-ci.org/cesine/ngram-natural-language-generator
[travis-image]: https://travis-ci.org/cesine/ngram-natural-language-generator.svg?branch=master
[daviddm-url]: https://david-dm.org/cesine/ngram-natural-language-generator.svg?theme=shields.io
[daviddm-image]: https://david-dm.org/cesine/ngram-natural-language-generator