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Technical Inductive Dependency Parsing (Text, Speech and Language Technology)

Posted on 2010-03-15




Name:Technical Inductive Dependency Parsing (Text, Speech and Language Technology)
ASIN/ISBN:1402048882
Language:English
File size:30.6 Mb
   Technical Inductive Dependency Parsing (Text, Speech and Language Technology)

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Inductive Dependency Parsing (Text, Speech and Language Technology) Publisher: Springer

Number Of Pages: 216

Publication Date: 2006-07-28

Sales Rank: 2707365

ISBN / ASIN: 1402048882

EAN: 9781402048883

Binding: Hardcover

Manufacturer: Springer

Studio: Springer

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. Buy Book at Lowest Price on Amazon

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