Description |
1 online resource (xi, 216 pages) : illustrations |
Series |
Text, speech, and language technology ; v. 34 |
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Text, speech, and language technology ; v. 34.
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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 |
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Print version record |
In |
Springer e-books |
Subject |
Parsing (Computer grammar)
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Computational linguistics.
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Dependency grammar.
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computational linguistics.
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LANGUAGE ARTS & DISCIPLINES -- Linguistics -- Historical & Comparative.
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Computational linguistics.
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Dependency grammar.
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Parsing (Computer grammar)
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Sciences sociales.
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Sciences humaines.
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Education.
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Computational linguistics
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Dependency grammar
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Parsing (Computer grammar)
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Parsing.
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Form |
Electronic book
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LC no. |
2007451140 |
ISBN |
9781402048890 |
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1402048890 |
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1402048882 |
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9781402048883 |
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6610611750 |
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9786610611751 |
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1280611758 |
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9781280611759 |
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