Code Monkey home page Code Monkey logo

parsetree-js's Introduction

Constituency TreeBanks

When one talks about the “success” of a Natural Language Processing solution, they often refer to its ability to analyse the semantic and syntactic structure of a given sentence. Such a solution is expected to be able to understand both the linear and hierarchical order of the words in a sentence, unveil embedded structures, illustrate syntactical relationships and have a firm grasp of the argument structure. In order to meet the expectations, cutting edge Natural Language Processing systems like parsers, POS taggers or machine translation systems make use of syntactically or semantically annotated treebanks. Such treebanks offer a deep look through the surface and into the logical form of sentences.

Annotated treebanks can be categorised as constituency treebanks and dependency treebanks. Constituency treebanks offers clarity through resolving structural ambiguities, and successfully illustrates the syntagmatic relations like adjunct, complement, predicate, internal argument, external argument and such.

The very first comprehensive annotated treebank, the Penn Treebank, was created for the English language and offers 40,000 annotated sentences. Following the Penn Treebank, numerous treebanks annotated for constituency structures were developed in different languages including French, German, Finnish, Hungarian, Chinese and Arabic.

Video Lectures

For Developers

You can also see Python, Cython, C, C++, Swift, Java or C# repository.

Requirements

Node.js

To check if you have a compatible version of Node.js installed, use the following command:

node -v

You can find the latest version of Node.js here.

Git

Install the latest version of Git.

Npm Install

npm install nlptoolkit-parsetree

Download Code

In order to work on code, create a fork from GitHub page. Use Git for cloning the code to your local or below line for Ubuntu:

git clone <your-fork-git-link>

A directory called util will be created. Or you can use below link for exploring the code:

git clone https://github.com/starlangsoftware/parsetree-js.git

Open project with Webstorm IDE

Steps for opening the cloned project:

  • Start IDE
  • Select File | Open from main menu
  • Choose PrseTree-Js file
  • Select open as project option
  • Couple of seconds, dependencies will be downloaded.

Detailed Description

TreeBank

To load a TreeBank composed of saved ParseTrees from a folder:

TreeBank(folder: string)

To load trees with a specified pattern from a folder of trees:

TreeBank(folder: string, pattern: string)

the line above is used. For example,

a = TreeBank("/mypath");

the line below is used to load trees under the folder "mypath" which is under the current folder. If only the trees with ".train" extension under the same folder are to be loaded:

a = TreeBank("/mypath", ".train");

the line below is used.

To iterate over the trees after the TreeBank is loaded:

for (let i = 0; i < a.size(); i++){
	  let p = a.get(i);
}

a block of code like this can be useful.

ParseTree

To load a saved ParseTree:

ParseTree(file: string)

is used. Usually it is more useful to load a TreeBank as explained above than loading the ParseTree one by one.

To find the node number of a ParseTree:

nodeCount(): number

leaf number of a ParseTree:

leafCount(): number

number of words in a ParseTree:

wordCount(excludeStopWords: boolean): number

above methods can be used.

Cite

@INPROCEEDINGS{9259873,
author={N. {Kara} and B. {Marşan} and M. {Özçelik} and B. N. {Arıcan} and A. {Kuzgun} and N. {Cesur} and D. B. {Aslan} and O. T. {Yıldız}},
booktitle={2020 Innovations in Intelligent Systems and Applications Conference (ASYU)}, 
title={Creating A Syntactically Felicitous Constituency Treebank For Turkish}, 
year={2020},
volume={},
number={},
pages={1-6},
doi={10.1109/ASYU50717.2020.9259873}}

parsetree-js's People

Contributors

olcaytaner avatar

Stargazers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.