Oxford University Press, 2003. — 770 pages. — ISBN 0-I9-823882-7.Computational Linguistics is an interdisciplinary field concerned with the processing of language by computers. Since machine translation began to emerge some fifty years ago, Computational Linguistics has grown and developed exponentially. It has expanded theoretically through the development of computational and formal models of language. In the process it has vastly increased the range and usefulness of its applications. At a time of continuing and vigorous growth the Oxford Handbook of Computational Linguistics provides a much-needed reference and guide. It aims to be of use to everyone interested in the subject, including students wanting to familiarize themselves with its key areas, researchers in other areas in search of an appropriate model or method, and those already working in the field who want to discover the latest developments in areas adjacent to their own.The Handbook is structured in three parts which reflect a natural progression from theory to applications.
Part I introduces the fundamentals: it considers, from a computational perspective, the main areas of linguistics such as phonology, morphology, lexicography, syntax, semantics, discourse, pragmatics, and dialogue. It also looks at central issues in mathematical linguistics such as formal grammars and languages, and complexity.
Part II is devoted to the basic stages, tasks, methods, and resources in and required for automatic language processing. It examines text segmentation, part-of-speech tagging, parsing, word-sense disambiguation, anaphora resolution, natural language generation, speech recognition, text-to-speech synthesis, finite state technology, statistical methods, machine learning, lexical knowledge acquisition, evaluation, sublanguages, controlled languages, corpora, ontologies, and tree-adjoining grammars.
Part III describes the main real-world applications based on Computational Linguistics techniques, including machine translation, information retrieval, information extraction, question answering, text summarization, term extraction, text data mining, natural language interfaces, spoken dialogue systems, multimodal / multimedia systems, computer-aided language learning, and multilingual on-line language processing.ContentsPhonology
Morphology
Lexicography
Syntax
Semantics
Discourse
Pragmatics and Dialogue
Formal Grammars and Languages
Complexity
Text Segmentation
Part-of-Speech Tagging
Parsing
Word-Sense Disambiguation
Anaphora Resolution
Natural Language Generation
Speech Recognition
Text-to-Speech Synthesis
Finite-State Technology
Statistical Methods
Machine Learning
Lexical Knowledge Acquisition
Evaluation
Sublanguages and Controlled Languages
Corpus Linguistics
Ontologies
Tree-Adjoining Grammars
Machine Translation: General Overview
Machine Translation: Latest Developments
Information Retrieval
Information Extraction
Question Answering
Text Summarization
Term Extraction and Automatic Indexing
Text Data Mining
Natural Language Interaction
Natural Language in Multimodal and Multimedia Systems
Natural Language Processing in Computer-Assisted Language Learning
Multilingual On-Line Natural Language Processing
