Handbook of Natural Language Processing, Second Edition

The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis. New to the Second Edition Greater prominence of statistical approaches New applications section Broader multilingual scope to include Asian and European languages, along with English An actively maintained wiki (http://handbookofnlp.cse.unsw.edu.au) that provides online resources, supplementary information, and up-to-date developments Divided into three sections, the book first surveys classical techniques, including both symbolic and empirical approaches. The second section focuses on statistical approaches in natural language processing. In the final section of the book, each chapter describes a particular class of application, from Chinese machine translation to information visualization to ontology construction to biomedical text mining. Fully updated with the latest developments in the field, this comprehensive, modern handbook emphasizes how to implement practical language processing tools in computational systems.

CLASSICAL APPROACHESClassical Approaches to Natural Language Processing, Robert Dale Text Preprocessing, David D. Palmer Lexical Analysis, Andrew Hippisley Syntactic Parsing, Peter Ljunglöf and Mats Wirén Semantic Analysis, Cliff Goddard and Andrea C. Schalley Natural Language Generation, David D. McDonald EMPIRICAL AND STATISTICAL APPROACHESCorpus Creation, Richard Xiao Treebank Annotation, Eva Hajicová, Anne Abeillé, Jan Hajic, Jiri Mirovský, and Zdenka Urešová Fundamental Statistical Techniques, Tong Zhang Part-of-Speech Tagging, Tunga Güngör Statistical Parsing, Joakim Nivre Multiword Expressions, Timothy Baldwin and Su Nam Kim Normalized Web Distance and Word Similarity, Paul M.B. Vitányi and Rudi L. Cilibrasi Word-Sense Disambiguation, David Yarowsky An Overview of Modern Speech Recognition, Xuedong Huang and Li Deng Alignment, Dekai Wu Statistical Machine Translation, Abraham Ittycheriah APPLICATIONSChinese Machine Translation, Pascale Fung Information Retrieval, Jacques Savoy and Eric Gaussier Question Answering, Diego Mollá-Aliod and José-Luis Vicedo Information Extraction, Jerry R. Hobbs and Ellen Riloff Report Generation, Leo Wanner Emerging Applications of Natural Language Generation in Information Visualization, Education, and Healthcare, Barbara Di Eugenio and Nancy L. Green Ontology Construction, Philipp Cimiano, Johanna Völker, and Paul Buitelaar BioNLP: Biomedical Text Mining, K. Bretonnel Cohen Sentiment Analysis and Subjectivity, Bing Liu Index

Nitin Indurkhya is an associate professor in the School of Computer Science and Engineering at the University of New South Wales in Sydney, Australia. He is also the founder and president of Data-Miner Pty Ltd, which offers education, training, and consulting services in data/text analytics and human language technologies. Before his death, Fred J. Damerau was a researcher at IBM’s Thomas J. Watson Research Center in Yorktown Heights, New York, where he worked on machine learning approaches to natural language processing.