import CoreNLP, { Properties, Pipeline } from 'corenlp';

const props = new Properties({
  annotators: 'tokenize,ssplit,pos,lemma,ner,parse',
});
const pipeline = new Pipeline(props, 'English'); // uses ConnectorServer by default

const sent = new CoreNLP.simple.Sentence('The little dog runs so fast.');
pipeline.annotate(sent)
  .then(sent => {
    console.log('parse', sent.parse());
    console.log(CoreNLP.util.Tree.fromSentence(sent).dump());
  })
  .catch(err => {
    console.log('err', err);
  });

import CoreNLP, { Properties, Pipeline, ConnectorServer } from 'corenlp';

const connector = new ConnectorServer({ dsn: 'http://localhost:9000' });
const props = new Properties({
  annotators: 'tokenize,ssplit,pos,lemma,ner,parse',
});
const pipeline = new Pipeline(props, 'English', connector);

import CoreNLP, { Properties, Pipeline, ConnectorCli } from 'corenlp';

const connector = new ConnectorCli({
  classPath: 'corenlp/stanford-corenlp-full-2017-06-09/*', // specify the paths relative to your npm project root
  mainClass: 'edu.stanford.nlp.pipeline.StanfordCoreNLP', // optional
  props: 'StanfordCoreNLP-spanish.properties', // optional
});
const props = new Properties({
  annotators: 'tokenize,ssplit,pos,lemma,ner,parse',
});
const pipeline = new Pipeline(props, 'English', connector);

// ... include dependencies

const props = new Properties({ annotators: 'tokenize,ssplit,lemma,pos,ner' });
const pipeline = new Pipeline(props, 'English', connector);
const sent = new CoreNLP.simple.Sentence('Hello world');
pipeline.annotate(sent)
  .then(sent => {
    console.log(sent.words());
    console.log(sent.nerTags());
  })
  .catch(err => {
    console.log('err', err);
  });

// ... include dependencies

const props = new Properties();
props.setProperty('annotators', 'tokenize,ssplit,pos,lemma,ner,parse');
const pipeline = new Pipeline(props, 'Spanish');

const sent = new CoreNLP.simple.Sentence('Jorge quiere cinco empanadas de queso y carne.');
pipeline.annotate(sent)
  .then(sent => {
    console.log('parse', sent.parse()); // constituency parsing string representation
    const tree = CoreNLP.util.Tree.fromSentence(sent);
    tree.visitLeaves(node =>
      console.log(node.word(), node.pos(), node.token().ner()));
    console.log(tree.dump());
  })
  .catch(err => {
    console.log('err', err);
  });

// ... include dependencies

const props = new Properties();
props.setProperty('annotators', 'tokenize,ssplit,regexner,depparse');
const expression = new CoreNLP.simple.Expression(
  'John Snow eats snow.',
  '{ner:PERSON}=who <nsubj ({pos:VBZ}=action >dobj {}=what)');
const pipeline = new Pipeline(props, 'English');

pipeline.annotateSemgrex(expression, true)  // similarly use pipeline.annotateTokensRegex / pipeline.annotateTregex
  .then(expression => expression.sentence(0).matches().map(match => {
      console.log('match', match.group('who'), match.group('action'), match.group('what'));
  }))
  .catch(err => {
    console.log('err', err);
  });