Inductive Dependency Parsing (Hardcover, 2006 ed.)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Text, Speech and Language Technology, 34
Release date:	June 2006
First published:	June 2006
Authors:	Joakim Nivre
Dimensions:	297 x 210 x 14mm (L x W x T)
Format:	Hardcover
Pages:	212
Edition:	2006 ed.
ISBN-13:	978-1-4020-4888-3
Categories:	Books > Language & Literature > Language & linguistics > Computational linguistics Promotions
LSN:	1-4020-4888-2
Barcode:	9781402048883

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