Introduction

This notebook implements to build a hidden Markov model for part of speech tagging with a universal tagset using the Pomegranate library. Hidden Markov models are used for speech recognition and speech generation, machine translation, gene recognition for bioinformatics, and human gesture recognition for computer vision, and more.

Getting Started

1. Open a terminal and clone the project repository:

$ git clone https://github.com/udacity/hmm-tagger

2. Go to the folder and run bellow command):

$ pip3 install pomegranate
$ cd hmm-taggerr
$ python3 -m jupyter notebook