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"Data-oriented parsing" was published by CSLI Publications in 2003 - Stanford, CA, it has 410 pages and the language of the book is English.


“Data-oriented parsing” Metadata:

  • Title: Data-oriented parsing
  • Author:
  • Language: English
  • Number of Pages: 410
  • Publisher: CSLI Publications
  • Publish Date:
  • Publish Location: Stanford, CA

“Data-oriented parsing” Subjects and Themes:

Edition Specifications:

  • Pagination: xii, 410 p. :

Edition Identifiers:

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"Data-oriented parsing" Table Of Contents:

  • 1- Part I: The basic data-oriented parsing model
  • 2- A DOP model for phrase-structure trees / Rens Bod and Remko Scha
  • 3- Reconsidering the probability model for DOP / Remko Bonnema and Remko Scha
  • 4- Encoding frequency information / John Carroll and David Weir
  • 5- Part II: Computational issues
  • 6- Computational complexity of disambiguation under DOP1 / Khalil Simaản
  • 7- Parsing DOP with Monte-Carlo techniques / Jean-Cedric Chappelier and Martin Rajman
  • 8- An alternative approach to Monte Carlo parsing / Remko Bonnema
  • 9- Efficient parsing of DOP with PCFG-reductions / Joshua Goodman
  • 10- An approximation of DOP through memory-based learning / Guy De Pauw
  • 11- Compositional partial parsing by memory-based sequence learning / Ido Dagan and Yuval Krymolowski
  • 12- Part III: Richer models
  • 13- Tree-gram parsing / Khalil Simaản
  • 14- A DOP model for lexical-functional grammar / Rens Bod and Ronald Kaplan
  • 15- A data-driven approach to head-driven phrase structure grammar / Günter Neumann
  • 16- Tree adjoining grammars and their application to statistical parsing / Aravind Joshi and Anoop Sarkar
  • 17- Localizing dependencies and supertagging / Srinivas Bangalore
  • 18- Statistical parsing with a tag / David Chiang
  • 19- Extending DOP with insertion / Lars Hoogweg
  • 20- Part IV: Beyond parsing
  • 21- Machine translation with tree-DOP / Arjen Poutsma
  • 22- Machine translation using LFG-DOP / Andy Way
  • 23- Alignment-based learning versus data-oriented parsing / Menno van Zaanen.

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