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Inductive Dependency Parsing
Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Datalogi.
2006 (English)Book (Other (popular science, discussion, etc.))
Abstract [en]

This book provides an in-depth description of the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text. This methodology is based on two essential components: dependency-based syntactic representations and a data-driven approach to syntactic parsing. More precisely, it is based on a deterministic parsing algorithm in combination with inductive machine learning to predict the next parser action.

The book includes a theoretical analysis of all central models and algorithms, as well as a thorough empirical evaluation of memory-based dependency parsing, using data from Swedish and English. Offering the reader a one-stop reference to dependency-based parsing of natural language, it is intended for researchers and system developers in the language technology field, and is also suited for graduate or advanced undergraduate education.

Place, publisher, year, edition, pages
Springer, Dordrecht , 2006. , p. 216
Series
Text, Speech and Language Technology ; 34
Keywords [en]
syntactic parsing, dependency parsing, machine learning, memory-based learning
National Category
Language Technology (Computational Linguistics) Computer Sciences
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:vxu:diva-2956ISBN: 1-4020-4888-2 (print)OAI: oai:DiVA.org:vxu-2956DiVA, id: diva2:202912
Available from: 2007-01-09 Created: 2007-01-09 Last updated: 2018-01-13Bibliographically approved

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http://www.springer.com/1-4020-4888-2

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Nivre, Joakim

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Total: 18 hits
CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf