Statistical natural language processing

Statistical Natural Language Processing (Statistical NLP) is a subfield of natural language processing (NLP) that employs statistical methods and techniques to analyze and understand human language. Unlike rule-based approaches that rely on hand-crafted linguistic rules, Statistical NLP uses probabilistic models and machine learning algorithms to derive patterns and infer meaning from large corpora of text data. ### Key Components of Statistical NLP: 1. **Probabilistic Models**: These models are used to predict the likelihood of various linguistic phenomena.