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

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

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

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

Name		Name	Last commit message	Last commit date
Latest commit History 44 Commits
CRF.ipynb		CRF.ipynb
HMM PoS.ipynb		HMM PoS.ipynb
README.md		README.md
WrittenAssignmentTemplate.ipynb		WrittenAssignmentTemplate.ipynb
crf.py		crf.py
hmm.py		hmm.py
requirements.txt		requirements.txt