Assignment 3: HMM-based POS Tagger & CRF-based NER Tagger

Prerequisites

Install Anaconda
Create a new conda environment (in the Terminal):

conda create --name pya3 python=3.9
Activate the environment:

conda activate pya3

Getting Started

Clone the repo, Enter the assignment directory. Please do not fork the repo!!

git clone https://github.com/csci5832-f23/assignment_3.git

cd assignment_3
Install required libraries

pip install -r requirements.txt

Tasks

Task A: Parts of Speech Tagging using Hidden Markov Model and Viterbi Algorithm on Hindi Dataset (Total: 40 Points out of 100)
- Implement missing code in hhm.py
- Run the cells in HMM POS.ipynb
Task B: Named Entity Recognition using Conditional Random Field on Hindi Dataset (Total: 60 Points out of 100)
- Implement the missing code in CRF.ipynb
- Answer the quiz questions in the same notebook

Submission

Due Date: TBA
Format: Single merged PDF with the outputs of HMM POS.ipynb, CRF.ipynb, and Written Assignment