Python is widely used in natural language processing (NLP) due to its simplicity and availability of powerful libraries.

Some of the key roles of Python in NLP are following:

Python provides tools for cleaning and preprocessing raw text data

Data cleaning

Python libraries such as NLTK and spaCy provide tools for performing text analytics and feature extraction, such as part-of-speech tagging and sentiment analysis.

Feature extraction

Python has a wide range of libraries for machine learning and deep learning, such as scikit-learn, TensorFlow, and PyTorch.

ML and deep learning

Python can be used to generate natural language text, such as chatbots.

Natural language generation

Python can be used for speech recognition and synthesis, such as speech-to-text and text-to-speech conversion.

Speech recognition

Overall, Python is a very powerful language for NLP that enables researchers and developers to efficiently build and deploy NLP applications