semvec/pypi-packages huggingface dataset:
aadil-nazar-sindhi-lemmatizer 1.0.0
A rule-based Sindhi Lemmatizer
Requires Python: >=3.7

# Sindhi Lemmatizer (Aadil Nazar)

[![PyPI version](https://img.shields.io/pypi/v/aadil-nazar-sindhi-lemmatizer.svg)](https://pypi.org/project/aadil-nazar-sindhi-lemmatizer/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

## About the Author
**Aadil Nazar** is a researcher and developer specializing in **Computational Linguistics** and **Natural Language Processing (NLP)** for low-resource languages. My work focuses on bridging the gap between traditional linguistics and modern technology, specifically for the Sindhi language. I am dedicated to developing open-source tools that empower researchers to process and analyze Sindhi text with digital precision.

## Project Overview
The **Sindhi Lemmatizer** is a specialized NLP tool designed to reduce inflected Sindhi words to their dictionary or root form (the lemma). Unlike simple stemming, which merely chops off suffixes, this lemmatizer utilizes morphological rules and a custom-mapped WordNet dictionary to ensure linguistic accuracy.

### Key Features:
- **Rule-Based Morphology Engine:** Handles complex Sindhi suffix and prefix patterns.
- **Custom Sindhi WordNet:** Integrated lexical database for root validation.
- **Research-Oriented:** Optimized for academic and commercial text analysis.

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## Installation

Install the package using the Python Package Index (PyPI):

```bash
pip install aadil-nazar-sindhi-lemmatizer