Téléchargez le livre :  Inductive Dependency Parsing
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Description


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.
Written for:
Researchers and system developers in the Language Technology field, graduate or advanced undergraduate students
Keywords:

machine learning
memory-based
syntactic parsing
Pages
n.c
Collection
n.c
Parution
2006
Marque
Kluwer Academic Publishers
EAN papier
1402048890
EAN PDF
1402048890

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
-
Prix
103,45 €

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