This repository provides detailed, accessible notes for the book "Introduction to Natural Language Processing" by He Han, author of HanLP. It targets engineers and researchers seeking to understand core NLP concepts and algorithms without dense mathematical formalism. The project offers a practical, "plain language" explanation of algorithms and their engineering implementations, aiming to bridge the gap between theoretical knowledge and real-world application in NLP tasks.

How It Works

The project follows the structure of the referenced book, explaining fundamental NLP concepts and progressing through key algorithms. It emphasizes intuitive understanding over rote memorization of formulas, detailing the principles and engineering aspects of techniques such as dictionary-based word segmentation, Hidden Markov Models (HMM), Perceptrons, Conditional Random Fields (CRF), Part-of-Speech (POS) tagging, Named Entity Recognition (NER), information extraction, text clustering, text classification, and dependency parsing. A final chapter introduces deep learning applications in NLP.

Quick Start & Requirements

This repository primarily serves as a set of learning notes and documentation based on a published book, rather than a standalone software project with direct installation instructions. No specific installation commands, prerequisites, or estimated setup times are provided for this note collection. Related projects like HanLP and ML-NLP may have separate setup requirements. A high-resolution mind map is available via the WeChat public account "第5纪元" by replying with "NLP思维导图".

Highlighted Details

• Focuses on practical algorithm principles and engineering implementation for NLP tasks.
• Employs "plain language" explanations, avoiding dry mathematical formulas.
• Covers a comprehensive range of foundational NLP topics, from segmentation to syntactic analysis and deep learning.
• Authored by He Han, the creator of the well-known HanLP NLP library.

Maintenance & Community

The project is presented as personal learning notes, documenting the author's journey with the book. While the author (He Han) is a known figure in the NLP community (HanLP), specific community channels (like Discord/Slack) or a formal roadmap for this note repository are not detailed. Links to related projects (ML-NLP, HanLP, personal-llm-api) are provided.

Licensing & Compatibility

The provided text does not specify a software license for these notes. Users should assume standard copyright protections apply, and direct inquiries regarding usage or licensing are recommended. Compatibility for commercial use or integration with closed-source projects is undetermined without a clear license.

Limitations & Caveats

This repository is a supplementary resource to a book and does not constitute a runnable software project. It lacks direct code examples or executable components for the algorithms discussed. The content is based on the author's interpretation and learning process, and users should refer to the original book and other resources for definitive information. Availability of the mind map requires engagement with a specific WeChat public account.