Skets-max/Parsing-Setswana-Adverbs

# Parsing Setswana Temporal Adverbs Final Year Project Student Name: Katlego Masike Student ID: 202207210 ## Project Description This project implements a rule-based Natural Language Processing (NLP) system for extracting temporal adverbs from Setswana sentences. The system uses manually POS-tagged data and constituency parsing to identify and represent adverbs in hierarchical parse trees. ## Tools and Technologies - Python - NLTK (Natural Language Toolkit) - Rule-based grammar - Manually annotated Setswana corpus ## Project Structure - data/ : POS-tagged Setswana sentences - src/ : Python source code - results/ : Output parse trees - README.md : Project documentation ## How to Run the Project 1. Install Python 2. Install NLTK: pip install nltk 3. Navigate to the src folder: cd src 4. Run the parser: python parser.py ## Expected Output - Extracted Setswana temporal adverbs - Constituency parse trees showing adverb positions ## Supervisor Dr Malema