Natural Language Understanding: A Study of Making Machines Understand Human Language (2nd Edition)

Author: Yao Tianshun
Publisher:
Publish Date: 2002-10-01
Features: Natural language understanding is an important branch of artificial intelligence, primarily studying how to use computers to understand and generate natural language. This book focuses on introducing various aspects of natural language understanding, including syntax analysis, semantic analysis, conceptual analysis, corpus linguistics, lexical semantic driving, intermediate language, WordNet, lexical tree adjacent grammar, link grammar, segment-based machine translation methods, in-identification and text filtering, machine translation evaluation, etc. It provides both an introduction to fundamental knowledge and a review of recent research advancements, while also incorporating the author's years of research achievements. This book can serve as a textbook and teaching reference for senior undergraduate or graduate students in computer science, artificial intelligence, and related fields at universities. It is also suitable for researchers and professionals engaged in Chinese information processing, data mining, and artificial intelligence research.