Brown-Clustering

Description

• Implementation of Brown Clustering Algorithm
• The algorithm trains on data and does heirarchial clustering
• Based on this clustering, it generates a unique vector of each word

Usage

• Dependencies : numpy and scipy

• On running the code, it trains on the small subset of data named - "subset_data.txt"

• This dataset contains dummy pos tags

• It clusters the similar words and prints and saves the clusters and the vectors of the words.

  python3 brown_clustering.py