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OverviewThis work provides an in-depth discussion of the field of syntactic wordclass tagging - the annotation of the words in a text with tags indicating their syntactic properties. Represented are the viewpoints of the two main groups who take an interest in tagging: the users of tagged text and the developers of tagging software. The book starts out by examining the field from the user's point of view. After a brief historical overview, the nature and uses of tagging are discussed and current practice is described. Here the user will find what tagging is and the software developer what it is the user wants. The book then switches to the other point of view and continues with a detailed explanation of the most common computational techniques for automatically tagging large amounts of text. Here the software developer finds information needed for the implementation of a tagger while the user gains insight into the possibilities and impossibilities of automatic tagging and how computer-provided tags should be interpreted. Full Product DetailsAuthor: H. van HalterenPublisher: Springer Imprint: Springer Edition: 1999 ed. Volume: 9 Dimensions: Width: 15.50cm , Height: 2.00cm , Length: 23.50cm Weight: 1.490kg ISBN: 9780792358961ISBN 10: 0792358961 Pages: 334 Publication Date: 31 August 1999 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsI The User’s View.- 1 Orientation.- 2 A Short History of Tagging.- 3 The Use of Tagging.- 4 Tagsets.- 5 Standards for Tagsets.- 6 Performance of Taggers.- 7 Selection and Operation of Taggers.- II The Implementer’s View.- 8 Automatic Taggers: An Introduction.- 9 Tokenization.- 10 Lexicons for Tagging.- 11 Standardization in the Lexicon.- 12 Morphological Analysis.- 13 Tagging Unknown Words.- 14 Hand-Crafted Rules.- 15 Corpus-Based Rules.- 16 Hidden Markov Models.- 17 Machine Learning Approaches.- Appendix A: Example tagsets.- A.1 The Brown Corpus tagset.- A.2 The Penn Treebanktagset.- A.3 The EngCG tagset.- References.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |