Application developed with Stanza Natural Language:
Application developed with Python, PySide2, and the Stanza Natural Language Processing (NLP) library. The application empowers linguistic enthusiasts and NLP practitioners to process and analyze Tamil language text files using advanced NLP techniques.
Features
- Tokenization: Utilize Stanza's tokenization engine to segment input Tamil text into tokens.
- Part-of-Speech Tagging: Leverage pre-trained models to annotate tokens with their corresponding parts of speech (POS) tags.
Usage
- Clone this repository and navigate to the project directory.
- Run the application using the command:
python3 StanzaTamilPOS.py
.
Dependencies
- Python 3.x
- PySide2
- Stanza
About
TamilPOS Using Stanza The application is designed to contribute to the linguistic and NLP communities by offering a user-friendly tool for Tamil text processing.
Get Started
- Clone the repository:
git clone [repository_url]
- Navigate to the project directory:
cd [project_directory]
- Run the application:
python StanzaTamilPOS.py
Author
Jasman Anthony Pillai
(C) 2023