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Book Cover
E-book
Author Nivre, Joakim

Title Inductive dependency parsing / by Joakim Nivre
Published Dordrecht, the Netherlands : Springer, ©2006

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Description 1 online resource (xi, 216 pages) : illustrations
Series Text, speech, and language technology ; v. 34
Text, speech, and language technology ; v. 34.
Contents Machine generated contents note: 1. Introduction -- 2. Natural language parsing -- 3. Dependency parsing -- 4. Inductive dependency parsing -- 5. Treebank parsing
Summary "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."--Jacket
Bibliography Includes bibliographical references (pages 183-207) and index
Notes English
Print version record
In Springer e-books
Subject Parsing (Computer grammar)
Computational linguistics.
Dependency grammar.
computational linguistics.
LANGUAGE ARTS & DISCIPLINES -- Linguistics -- Historical & Comparative.
Computational linguistics.
Dependency grammar.
Parsing (Computer grammar)
Sciences sociales.
Sciences humaines.
Education.
Computational linguistics
Dependency grammar
Parsing (Computer grammar)
Parsing.
Form Electronic book
LC no. 2007451140
ISBN 9781402048890
1402048890
1402048882
9781402048883
6610611750
9786610611751
1280611758
9781280611759