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Inductive Dependency Parsing (Text, Speech and Language Technology) {Repost}

Posted on 2010-12-16




Name:Inductive Dependency Parsing (Text, Speech and Language Technology) {Repost}
ASIN/ISBN:1402048882
Publisher:Springer
Publish Date:edition 2006
Pages:224 pages
File size:14.7 Mb
Publisher: Springer
ISBN: 1402048882
Publish Date: edition 2006
File Type: PDF
Pages: 224 pages
File Size: 14,7 mb
   Inductive Dependency Parsing (Text, Speech and Language Technology) {Repost}

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Inductive Dependency Parsing (Text, Speech and Language Technology)

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.



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