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package](https://nodei.co/npm/corenlp.png)](https://www.npmjs.com/package/corenlp)\n\n*This project is under active development, please stay tuned for updates.  More documentation and examples are comming.*\n\n## Example\n\nAssuming that StanfordCoreNLPServer is running on `http://localhost:9000`....\n\n```javascript\nimport CoreNLP, { Properties, Pipeline } from 'corenlp';\n\nconst props = new Properties({\n  annotators: 'tokenize,ssplit,pos,lemma,ner,parse',\n});\nconst pipeline = new Pipeline(props, 'English'); // uses ConnectorServer by default\n\nconst sent = new CoreNLP.simple.Sentence('The little dog runs so fast.');\npipeline.annotate(sent)\n  .then(sent => {\n    console.log('parse', sent.parse());\n    console.log(CoreNLP.util.Tree.fromSentence(sent).dump());\n  })\n  .catch(err => {\n    console.log('err', err);\n  });\n```\n\n## API\n\nRead the full [API documentation](https://gerardobort.github.io/node-corenlp/docs).\n\n## Setup\n\n### 1. Install the package:\n\n```bash\nnpm i --save corenlp\n```\n\n### 2. Download Stanford CoreNLP\n\n### 2.1. Shortcut (recommended to give this library a first try)\n\nVia `npm`, run this command from your own project after having installed this library:\n\n```bash\nnpm explore corenlp -- npm run corenlp:download\n```\n\nOnce downloaded you can easily start the server by running\n\n```bash\nnpm explore corenlp -- npm run corenlp:server\n```\n\nOr you can manually download the project from the Stanford's CoreNLP download section at: https://stanfordnlp.github.io/CoreNLP/download.html\nYou may want to download, apart of the full package, other language models (see more on that page).\n\n### 2.2. Via sources\n\nFor advanced projects, when you have to customize the library a bit more, we highly recommend to download the StanfordCoreNLP from the [original repository](https://github.com/stanfordnlp/CoreNLP), and compile the source code by using `ant jar`.\n\n*NOTE*: Some functionality included in this library, for `TokensRegex`, `Semgrex` and `Tregex`, requires the latest version from that repository, which contains some fixes needed by this library, not included in the latest stable release.\n\n### 3. Configure Stanford CoreNLP\n\nThere are two method to connect your NodeJS application to Stanford CoreNLP:\n\n1. HTTP is the preferred method since it requires CoreNLP to initialize just once to serve many requests, it also avoids extra I/O given that the CLI method need to write temporary files to run *recommended*.\n2. Via Command Line Interface, this is by spawning processes from your app.\n\n\n#### 3.1. Using StanfordCoreNLPServer\n\n```bash\n# Run the server using all jars in the current directory (e.g., the CoreNLP home directory)\njava -mx4g -cp \"*\" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9000 -timeout 15000\n```\n\nCoreNLP connects by default via StanfordCoreNLPServer, using port 9000.  You can also opt to setup the connection differently:\n\n```javascript\nimport CoreNLP, { Properties, Pipeline, ConnectorServer } from 'corenlp';\n\nconst connector = new ConnectorServer({ dsn: 'http://localhost:9000' });\nconst props = new Properties({\n  annotators: 'tokenize,ssplit,pos,lemma,ner,parse',\n});\nconst pipeline = new Pipeline(props, 'English', connector);\n```\n\n#### 3.2. Use CoreNLP via CLI\n\nCoreNLP expects by default the StanfordCoreNLP package to be placed (unzipped) inside the path `${YOUR_NPM_PROJECT_ROOT}/corenlp/`.  You can also opt to setup the CLI interface differently:\n\n```javascript\nimport CoreNLP, { Properties, Pipeline, ConnectorCli } from 'corenlp';\n\nconst connector = new ConnectorCli({\n  classPath: 'corenlp/stanford-corenlp-full-2017-06-09/*', // specify the paths relative to your npm project root\n  mainClass: 'edu.stanford.nlp.pipeline.StanfordCoreNLP', // optional\n  props: 'StanfordCoreNLP-spanish.properties', // optional\n});\nconst props = new Properties({\n  annotators: 'tokenize,ssplit,pos,lemma,ner,parse',\n});\nconst pipeline = new Pipeline(props, 'English', connector);\n```\n\n### 4. Usage\n\n#### 4.1 Pipeline\n```javascript\n// ... include dependencies\n\nconst props = new Properties({ annotators: 'tokenize,ssplit,lemma,pos,ner' });\nconst pipeline = new Pipeline(props, 'English', connector);\nconst sent = new CoreNLP.simple.Sentence('Hello world');\npipeline.annotate(sent)\n  .then(sent => {\n    console.log(sent.words());\n    console.log(sent.nerTags());\n  })\n  .catch(err => {\n    console.log('err', err);\n  });\n```\n\n#### 4.2 Penn TreeBank traversing\n```javascript\n// ... include dependencies\n\nconst props = new Properties();\nprops.setProperty('annotators', 'tokenize,ssplit,pos,lemma,ner,parse');\nconst pipeline = new Pipeline(props, 'Spanish');\n\nconst sent = new CoreNLP.simple.Sentence('Jorge quiere cinco empanadas de queso y carne.');\npipeline.annotate(sent)\n  .then(sent => {\n    console.log('parse', sent.parse()); // constituency parsing string representation\n    const tree = CoreNLP.util.Tree.fromSentence(sent);\n    tree.visitLeaves(node =>\n      console.log(node.word(), node.pos(), node.token().ner()));\n    console.log(tree.dump());\n  })\n  .catch(err => {\n    console.log('err', err);\n  });\n```\n\n#### 4.3 TokensRegex, Tregex and Semgrex\n```javascript\n// ... include dependencies\n\nconst props = new Properties();\nprops.setProperty('annotators', 'tokenize,ssplit,regexner,depparse');\nconst expression = new CoreNLP.simple.Expression(\n  'John Snow eats snow.',\n  '{ner:PERSON}=who <nsubj ({pos:VBZ}=action >dobj {}=what)');\nconst pipeline = new Pipeline(props, 'English');\n\npipeline.annotateSemgrex(expression, true)  // similarly use pipeline.annotateTokensRegex / pipeline.annotateTregex\n  .then(expression => expression.sentence(0).matches().map(match => {\n      console.log('match', match.group('who'), match.group('action'), match.group('what'));\n  }))\n  .catch(err => {\n    console.log('err', err);\n  });\n```\n\n## 5. Client Side\n\nThis library is isomorphic, which means that works as well on a Browser. The API is exactly the same, and you can use it directly by requiring it via a `<script>` tag, using AMD (RequireJS), or within your app bundle.\n\nThe browser ready version of `corenlp` can be found as `dist/index.browser.min.js`, once built (`npm run build`).\n\nSee the examples folder for more details.\n\n## 6. External Documentation\n\n```bash\nProperties\nPipeline\nService\nConnectorServer                   # https://stanfordnlp.github.io/CoreNLP/corenlp-server.html\nConnectorCli                      # https://stanfordnlp.github.io/CoreNLP/cmdline.html\nCoreNLP\n  simple                          # https://stanfordnlp.github.io/CoreNLP/simple.html\n    Annotable\n    Annotator\n    Document\n    Sentence\n    Token\n    annotator                     # https://stanfordnlp.github.io/CoreNLP/annotators.html\n      TokenizerAnnotator          # https://stanfordnlp.github.io/CoreNLP/tokenize.html\n      WordsToSentenceAnnotator    # https://stanfordnlp.github.io/CoreNLP/ssplit.html\n      POSTaggerAnnotator          # https://stanfordnlp.github.io/CoreNLP/pos.html\n      MorphaAnnotator             # https://stanfordnlp.github.io/CoreNLP/lemma.html\n      NERClassifierCombiner       # https://stanfordnlp.github.io/CoreNLP/ner.html\n      ParserAnnotator             # https://stanfordnlp.github.io/CoreNLP/parse.html\n      DependencyParseAnnotator    # https://stanfordnlp.github.io/CoreNLP/depparse.html\n      RelationExtractorAnnotator  # https://stanfordnlp.github.io/CoreNLP/relation.html\n      CorefAnnotator              # https://stanfordnlp.github.io/CoreNLP/coref.html\n      SentimentAnnotator          # https://stanfordnlp.github.io/CoreNLP/sentiment.html - Comming soon...\n      RelationExtractorAnnotator  # https://stanfordnlp.github.io/CoreNLP/relation.html - TODO\n      NaturalLogicAnnotator       # https://stanfordnlp.github.io/CoreNLP/natlog.html - TODO\n      QuoteAnnotator              # https://stanfordnlp.github.io/CoreNLP/quote.html - TODO\n  util\n    Tree                          # http://www.cs.cornell.edu/courses/cs474/2004fa/lec1.pdf\n```\n\n## 7. References\n\nThis library is *not* maintained by [StanfordNLP](https://github.com/stanfordnlp).  However, it's based on and depends on [StanfordNLP/CoreNLP](https://github.com/stanfordnlp/CoreNLP) to function.\n\n### 7.1 [Stanford CoreNLP Reference](https://github.com/stanfordnlp/CoreNLP)\n\nManning, Christopher D., Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard, and David McClosky. 2014. 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