Package Exports
- compromise
This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (compromise) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.
Readme

var nlp = require('compromise')
nlp('Wee-ooh, I look just like buddy holly.').sentences().toPastTense()
// 'Wee-ooh, I looked just like buddy holly.'
nlp('..then consider me Miles Davis!').people().out('freq')
// [{ text:'Miles Davis', count:1 }]
210k
one javascript file
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86%
on the Penn treebank
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π
npm install compromise
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IE9+
caniuse, youbetcha
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compromise makes working with text easy
no jargon, | no config, | no training
Part-of-Speech tags | nouns, verbs, adjectives.. | Verb conjugation | change tense of a verb or sentence |
Number parsing | seven hundred and fifty -> 750 | Named-entities | all the people, places, orgs.. |
Template-matches | match natural-language forms | Text cleanup | contractions, hyphenation, punctuation |
API docs | Demos list
Client-side!
<script src="https://unpkg.com/compromise@latest/builds/compromise.min.js"></script>
<script>
var doc = nlp('dinosaur')
doc.nouns().toPlural()
console.log(doc.out('text'))
// 'dinosaurs'
</script>
π Server-side!
var nlp = require('compromise')
var doc = nlp('London is calling')
doc.sentences().toNegative()
// 'London is not calling'
Grab some words,
the match() syntax lets you grab non-specific words or patterns:
doc = nlp('Ludwig van Beethoven wrote to Josephine Brunsvik')
doc.match('#TitleCase van #LastName').out()
// 'Ludwig van Beethoven'
doc.match('#PastTense to').hyphenate().out()
// 'wrote-to'
common match-patterns have handy methods like .nouns()
, or .people()
,
doc.people().out('list')
// ['ludwig van beethoven', 'josephine brunsvik']
Plural/singular:
grab your noun-phrases, make em plural:
doc = nlp('a bottle of beer on the wall.')
doc.nouns().first().toPlural()
doc.out('text')
//'The bottles of beer on the wall.'
Number parsing:
parse written numbers, and change their form:
doc = nlp('ninety five thousand and fifty two')
doc.values().toNumber().out('text')
// '95052'
doc = nlp('the 23rd of December')
doc.values().toText()
doc.out('text')
// 'the twenty third of December'
Normalization:
some wrappers for common changes:
doc = nlp("the guest-singer's bjΓΆrk at seven thirty.").normalize().out('text')
// 'The guest singer is Bjork at 7:30.'
Tense:
all your base are belong:
let doc = nlp('she sells seashells by the seashore.')
doc.sentences().toFutureTense().out('text')
//'she will sell seashells...'
doc.verbs().conjugate()
// [{ PastTense: 'sold',
// Infinitive: 'sell',
// Gerund: 'selling', ...
// }]
Named-entity spotting:
find the people, places, organizations:
doc = nlp('that opera about richard nixon visiting china')
doc.topics().data()
// [
// { text: 'richard nixon' },
// { text: 'china' }
// ]
Error correction:
make it say what you'd like:
var lexicon={
'boston': 'MusicalGroup'
}
doc = nlp('i heard Boston\'s set in Chicago', lexicon)
doc.match('#MusicalGroup').length
// 1
//alternatively, fix it all 'in-post':
doc.match('heard #Possessive set').terms(1).tag('MusicalGroup')
doc.match('#MusicalGroup').length
// 1
Handy outputs:
get some data:
doc = nlp('We like Roy! We like Roy!').sentences().out('array')
// ['We like Roy!', 'We like Roy!']
doc = nlp('Tony Hawk').out('html')
/*
<span>
<span class="nl-Person nl-FirstName">Tony</span>
<span> </span>
<span class="nl-Person nl-LastName">Hawk</span>
</span>
*/
and yes, ofcourse, there's a lot more stuff.
Join in - we're fun, we're using semver, and moving fast. get involved
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![]() Applications
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Don't forget about:
- β¨ naturalNode - decidedly fancier, statistical nlp in javascript
- π SuperScript - clever conversation engine in js
- π NodeBox Linguistics - conjugation, inflection in javascript
- π reText - very impressive text utilities in javascript
- π jsPos - javascript build of the time-tested Brill-tagger
- π spaCy - speedy, multilingual tagger in C/python
For the former promise-library, see jnewman/compromise (Thanks Joshua!)