计算语言学是语言学与计算机科学相融合的前沿性文理交叉学科，它试图找出自然语言的规律，以期在人机之间实现自然语言交互。
本书共分为两卷，第一卷涵盖计算语言学的多个基础方面，包括语言资源、语音处理、词法分析、句法分析等，不仅为计算语言学技术的发展提供了历史背景和基础知识，而且对自然语言处理研究大有裨益。

Introduction
Chapter 1.Linguistic Resources for NLP
1.1.The concept of a corpus
1.2.Corpus taxonomy
1.2.1.Written versus spoken
1.2.2.The historical point of view
1.2.3.The language of corpora
1.2.4.Thematic representativity
1.2.5.Age range of speakers
1.3.Who collects and distributes corpora
1.3.1.The Gutenberg project
1.3.2.The Linguistic Data Consortium
1.3.3.European Language Resource Agency
1.3.4.Open Language Archives Community
1.3.5.Miscellaneous
1.4.The lifecycle of a corpus
1.4.1.Needs analysis
1.4.2.Design of scenarios to collect data for the corpus
1.4.3.Collection of the corpus
1.4.4.Transcription
1.4.5.Corpus annotation
1.4.6.Corpus documentation
1.4.7.Statistical analysis of data
1.4.8.The use of corpora in NLP
1.5.Examples of existing corpora
1.5.1.American National Corpus
1.5.2.Oxford English Corpus
1.5.3.The Grenoble Tourism Office Corpus
Chapter 2.The Sphere of Speech
2.1.Linguistic studies of speech
2.1.1.Phonetics
2.1.2.Phonology
2.2.Speech processing
2.2.1.Automatic speech recognition
2.2.2.Speech synthesis
Chapter 3.Morphology Sphere
3.1.Elements of morphology
3.1.1.Morphological typology
3.1.2.Morphology of English
3.1.3.Parts of speech
3.1.4.Terms, collocations and colligations
3.2.Automatic morphological analysis
3.2.1.Stemming
3.2.2.Regular expressions for morphological analysis
3.2.3.Informal introduction to finite-state machines
3.2.4.Two-level morphology and FST
3.2.5.Part-of-speech tagging
Chapter 4.Syntax Sphere
4.1.Basic syntactic concepts
4.1.1.Delimitation of the field of syntax
4.1.2.The concept of grammaticality
4.1.3.Syntactic constituents
4.1.4.Syntactic typology of topology and agreement
4.1.5.Syntactic ambiguity
4.1.6.Syntactic specificities of spontaneous oral language
4.2.Elements of formal syntax
4.2.1.Syntax trees and rewrite rules
4.2.2.Languages and formal grammars
4.2.3.Hierarchy of languages (Chomsky-Schützenberger)
4.2.4.Feature structures and unification
4.2.5.Definite clause grammar
4.3.Syntactic formalisms
4.3.1.X-bar
4.3.2.Head-driven phrase structure grammar
4.3.3.Lexicalized tree-adjoining grammar
4.4.Automatic parsing
4.4.1.Finite-state automata
4.4.2.Recursive transition networks
4.4.3.Top-down approach
4.4.4.Bottom-up approach
4.4.5.Mixed approach: left-corner
4.4.6.Tabular parsing (chart)
4.4.7.Probabilistic parsing
4.4.8.Neural networks
4.4.9.Parsing algorithms for unification-based grammars
4.4.10.Robust parsing approaches
4.4.11.Generation algorithms
Bibliography
Index