Inductive Dependency Parsing (Text, Speech and Language Technology)
Edition: 1 edition
Publisher: Springer
Published: July 28, 2006
Language: eng
Format: Hardcover
Number of pages: 216
ISBN-13: 9781402048883
Subjects: Natural language & machine translation; Natural Language Processing; Computers; Language Arts / Linguistics / Literacy; Computer Books: General; Artificial Intelligence - General; Linguistics; Language Arts & Disciplines / General; machine learning; memory-based; syntactic parsing; Computer Science
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.