English Parse

English language syntactic dependency parser.

important This project is in a very early stage, it's rather an experiment than a real a project. Using it in production may hurt your feelings.

Installation and Usage

npm i --save en-parse

const parser = require("en-parse").default;
let parsed = parser(["PRP","VBP","TO","VBP"],["i","like","to","parse"]);

NOTE: tokens should be normalized (contractions, abbreviations and such all resolved to it's normal form).

The parsed variable is now an array like this one:

[
  {
    "label": "MWE",
    "type": "NP",
    "master": 1
  },
  {
    "label": "NSUBJ",
    "type": "NP",
    "master": 2
  },
  {
    "label": "ROOT",
    "type": "VP",
    "master": -1
  },
  {
    "label": "COMPMARK",
    "type": "PP",
    "master": 5
  },
  {
    "label": "NSUBJ",
    "type": "NP",
    "master": 5
  },
  {
    "label": "XCOMP",
    "type": "VP",
    "master": 2
  },
  {
    "label": "ADVMOD",
    "type": "ADV",
    "master": 8
  },
  {
    "label": "AUX",
    "type": "VBN",
    "master": 8
  },
  {
    "label": "ADVCL",
    "type": "VP",
    "master": 5
  },
  {
    "label": "PUNCT",
    "type": "PUNCT",
    "master": 2
  }
]

Annotation Specs:

Core Nominal Arguments

Annotation | Name | Example --- | --- | --- NSUBJ | Nominal Subject | I like you DOBJ | Direct Object | I like you IOBJ | Indirect Object | she gave me a book NSUBJPASS | Nominal Subject (passive) | I have been given a chance CCOMP | Clausal Complement | The boss ordered to dig the hole XCOMP | Open Clausal Complement | The boss told us to dig OBL | Oblique Object | Give the toys to the children EXPL | Expletive | I have been there ADVCL | Adverb Clause Modifier | We were walking as the rain was falling ADVMOD | Adverbial modifier | I don't eat genetically modified food. DISCOURSE | Discourse | I like that :) VPRT | Verbal Particle | I switched the TV off AUX | Auxiliary | I am going to buy a new computer AUXPASS | Auxiliary (passive) | I have been marked COMPMARK | Complement Marker | I will do it if I like it ADVMARK | Adverb Marker | I did it after I was convinced NOMD | Nominal Modifier | MSNBC news had little effect on the market NUMMOD | Numeric Modifier | I ate 2 eggs this morning ACL | Clausal Modifier of a Noun | I saw the man you love AMOD | Adjectival Modifier | you were good to him DET | Determiner | which book you prefer? CASE | Case Marking | I went to Rachel PUNCT | Punctuation | Guys, keep calm! CC | Coordinating Conjunction | Mathew and Alex INTERJ | Interjection | Pass me the sugar, please EXT | Extension | My name is Alex Corvi DEP | Unrecognized dependency | how what

Why?

• Current solutions uses statistical machine learning models which makes it 5 times slower (if not worse) than a rule based implementation like this one.
• This is a javascript implementation, so it can be used for an in-browser natural language processing.
• Also because it's written in javascript it might be preferred in smart bots to reduce the complexity of having your bot written in node.js and the natural language processor written in Python or C++.

Credits

The idea of this parser was originally featured as a small experiment in Xav Ulflander's Compendium.