Inductive Dependency Parsing

• Main Author: Nivre, Joakim
• Format: eBook Book
• Language: English
• Published: Dordrecht Springer Science + Business Media 2006; Springer; Springer Netherlands
• Edition: 1. Aufl.
• Series: Text, Speech and Language Technology
• Subjects: Artificial Intelligence; Computational Linguistics; Computer and Information Sciences Computer Science; Computer Appl. in Arts and Humanities; Computer Science; Data- och informationsvetenskap; Datalogi; Datavetenskap; Datorlingvistik; Dependency grammar; dependency parsing; HUMANIORA och RELIGIONSVETENSKAP; HUMANITIES and RELIGION; Information technology; Informationsteknik; Languages and linguistics; Linguistic subjects; Linguistics, general; Lingvistikämnen; machine learning; memory-based learning; Natural Language Processing (NLP); Parsing (Computer grammar); Parsing. gtt; Språkvetenskap; syntactic parsing; Syntax; TECHNOLOGY; TEKNIKVETENSKAP; Kultur Literatur Sprache; Kultur Sprachwissenschaft
• ISBN: 9781402048883; 1402048882
• ISSN: 1386-291X
• DOI: 10.1007/1-4020-4889-0

This book describes the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text. Coverage includes a theoretical analysis of central models and algorithms, and an empirical evaluation of memory-based dependency parsing using data from Swedish and English. A one-stop reference to dependency-based parsing of natural language, it will interest researchers and system developers in language technology, and is suitable for graduate or advanced undergraduate courses.