About this book
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.
- DOI https://doi.org/10.1007/1-4020-4889-0
- Copyright Information Springer Science+Business Media B.V. 2006
- Publisher Name Springer, Dordrecht
- eBook Packages Humanities, Social Sciences and Law
- Print ISBN 978-1-4020-4888-3
- Online ISBN 978-1-4020-4889-0
- Series Print ISSN 1386-291X
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