Wordnet Data Capture

Program that compiles Princeton Wordnet lexical data into readable text files using the JWI API by MIT. [Java]

View the Project on GitHub

Wordnet Data Capture v1.0.1

Reading Data from Princeton Wordnet into Text Files

Description

The purpose of this program is to scan the Princeton Wordnet database and store the hyponym and meronym data as well as full hypernym trees such that this data may be analyzed by another program. This program uses the JWI API from MIT to read and translate the Wordnet 3.0 database into workable .txt files for use in applications such as MATLAB. This program was used to build the dataset for the Codenames AI also available on GitHub.

The output .txt file format is as follows for hyponyms and hypernms (word.txt):

word
~
hyponyms
~
Level 1 Hypernyms
~
Level 2 Hypernyms
~
...
~
Level MAX hypernyms (MAX is a const int that can be modified at the top of *MainClass.java*)

The output .txt file format is as follows for meronyms (word meronyms.txt):

word
~
meronyms

To Run

  1. Download and install the Princeton Wordnet lexical database.

  2. Download and install the JWI API for Wordnet.

  3. Download this repository.

In MainClass class within MainClass.java:

  1. Insert words for analysis in the array codenames.

  2. Follow the instructions in the comments in order to select either hypernyms/hyponyms or meronyms for output.

  3. This data can then be further analyzed using another program such as MATLAB.