Syntactic Wordclass Tagging (Paperback)

H. van Halteren

ISBN 10: 9048152968 / ISBN 13: 9789048152964

Editore: Springer, Dordrecht, 2010

Riguardo questo articolo

Paperback. This book provides an in-depth discussion of the field of syntactic wordclass tagging, i.e. 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 foremost 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. In both the linguistic and the language engineering community, the creation and use of annotated text collections (or annotated corpora) is currently a hot topic. Unfortunately, the annotation of text material, especially more interesting linguistic annotation, is as yet a difficult task and can entail a substan tial amount of human involvement. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Codice articolo 9789048152964

Dati bibliografici

• Titolo: Syntactic Wordclass Tagging (Paperback)
• Editore: Springer, Dordrecht
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 9048152968
• ISBN 13: 9789048152964
• Rilegatura: Paperback
• Edizione: prima edizione
• Condizione: new

Descrizione articolo

Riassunto

In both the linguistic and the language engineering community, the creation and use of annotated text collections (or annotated corpora) is currently a hot topic. Annotated texts are of interest for research as well as for the development of natural language pro­ cessing (NLP) applications. Unfortunately, the annotation of text material, especially more interesting linguistic annotation, is as yet a difficult task and can entail a substan­ tial amount of human involvement. Allover the world, work is being done to replace as much as possible of this human effort by computer processing. At the frontier of what can already be done (mostly) automatically we find syntactic wordclass tagging, the annotation of the individual words in a text with an indication of their morpho syntactic classification. This book describes the state of the art in syntactic wordclass tagging. As an attempt to give an overall view of the field, this book is of interest to (at least) two, possibly very different, types of reader. The first type consists of those people who are using, or are planning to use, tagged material and taggers. They will want to know what the possibilities and impossibilities of tagging are, but are not necessarily interested in the internal working of automatic taggers. This, on the other hand, is the main interest of our second type of reader, the builders of automatic taggers and other natural language processing software.

Contenuti

Preface. Contributing Authors. Part I: The User's View. 1. Orientation; A. Voutilainen. 2. A Short History of Tagging; A. Voutilainen. 3. The Use of Tagging; G. Leech, N. Smith. 4. Tagsets; J. Cloeren. 5. Standards for Tagsets; G. Leech, A. Wilson. 6. Performance of Taggers; H. van Halteren. 7. Selection and Operation of Taggers; H. van Halteren. Part II: The Implementer's View. 8. Automatic Taggers: An Introduction; H. van Halteren, A. Voutilainen. 9. Tokenization; G. Grefenstette. 10. Lexicons for Tagging; A. Schiller, L. Karttunen. 11. Standardization in the Lexicon; M. Monachini, N. Calzolari. 12. Morphological Analysis; K. Oflazer. 13. Tagging Unknown Words; E. Brill. 14. Hand-Crafted Rules; A. Voutilainen. 15. Corpus-Based Rules; E. Brill. 16. Hidden Markov Models; M. El-Beze, B. Merialdo. 17. Machine Learning Approaches; W. Daelemans. Appendix A: Example tagsets. References. Index.