rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Inductive Dependency Parsing
  name:
    name part: Nivre, Joakim.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: ne
    date issued: 2006
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 212 p. online resource.
  abstract: 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.
  table of contents: Natural Language Parsing -- Dependency Parsing -- Inductive Dependency Parsing -- Treebank Parsing -- Conclusion.
  note: by Joakim Nivre.
  subject:
    topic: Computer science
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational linguistics
  subject:
    topic: Application software
  subject:
    topic: Linguistics
  subject:
    topic: Syntax
  subject:
    topic: Computer Science
  subject:
    topic: Language Translation and Linguistics
  subject:
    topic: Linguistics, general
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Computer Appl. in Arts and Humanities
  subject:
    topic: Computational Linguistics
  subject:
    topic: Syntax
  classification: P98-98.5
  classification: 006.35
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Text, Speech and Language Technology, 34
  identifier: 9781402048890
  identifier: http://dx.doi.org/10.1007/1-4020-4889-0
  record info:
    record creation date: 100301
    record change date: 20151204170457.0
    record identifier: 978-1-4020-4889-0