LughaatNLP
LughaatNLP is an open-source Python library specifically developed for preprocessing Urdu text data. It provides a comprehensive set of tools and functionalities for tasks such as text normalization, tokenization, stemming, and more. The library aims to simplify the process of working with Urdu text data and enable developers and researchers to build sophisticated NLP applications in Urdu with ease.
LughaatNLP: A Powerful Urdu Language Preprocessing Library
In recent years, natural language processing (NLP) has witnessed tremendous growth. Now researchers and developers are exploring various languages beyond English. Urdu is one of the widely spoken languages in South Asia. To help with Urdu language processing tasks, a new and robust preprocessing library called LughaatNLP has arisen as a vital tool for researchers, developers, and language fans alike.
Table of Content
- LughaatNLP
- Key Features of LughaatNLP
- 1. Tokenization
- 2. Lemmatization
- 3. Stop Word Removal
- 4. Normalization
- 5. Stemming
- 6. Spell Checking
- 7. Part-of-Speech Tagging
- 8. Named Entity Recognition
- Urdu Language Preprocessing using LughaatNLP
- Installation of LughaatNLP
- Import Libraries and Create an instance of a LughaatNLP object:
- 1. Text Normalization Methods in LughaatNLP
- 2. Lemmatization and Stemming
- Lemmatization
- Stemming
- 3. Stop Words Removing
- 4. Spell Checker
- 5. Tokenization
- Output:
- 6. Part of Speech
- 7. Name Entity Relation
- Conclusion