Metadata-Version: 2.2
Name: PakEngTagger
Version: 0.2.1
Summary: A POS tagger for Pakistani English developed by Muhammad Owais
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.12
Description-Content-Type: text/markdown
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: requires-python
Dynamic: summary

﻿Here is a simple `README.txt` you can use for your project:

---

**PakEngTagger**

**Version:** 0.1  
**Description:**  
PakEngTagger is a Part-of-Speech (POS) tagger designed for Pakistani English. It identifies and tags words from a sentence, distinguishing unique features of Pakistani English, including its vocabulary and syntactic structure.

**Features:**  
- Tags standard English words alongside unique Pakistani English terms.
- Designed to be easily integrated into existing Python projects.
- Future versions will include Machine Translation functionality for converting Pakistani English to British English.

**Installation:**  
1. Clone the repository:
   ```bash
   git clone https://github.com/your-username/PakEngTagger.git
   ```
2. Navigate into the directory:
   ```bash
   cd PakEngTagger
   ```
3. Install the package:
   ```bash
   pip install .
   ```

**Usage Example:**
```python
from pak_eng_tagger import PakEngTag

tagger = PakEngTag()
sample_sentence = "I love attending majalis during Muharram."
tagged_output = tagger.tag_sentence(sample_sentence)

print(tagged_output)
```

**License:**  
This project is licensed under the MIT License.

---
