Stanford CoreNLP provides a comprehensive set of integrated NLP tools written in Java that can analyze raw text and extract linguistic structures including tokenization, sentence segmentation, part-of-speech tagging, named entity recognition, syntactic parsing, coreference resolution, and sentiment analysis. The tools employ rule-based, probabilistic machine learning, and deep learning components and support multiple languages including English, Arabic, Chinese, French, German, Hungarian, Italian, and Spanish. It serves as foundational infrastructure for higher-level text understanding applications in academia, industry, and government.