Distributed for the Center for the Study of Language and Information
Data-Oriented Parsing
Cloth $80.00
ISBN: 9781575864358
Published February 2003
Paper $35.00
ISBN: 9781575864365
Published February 2003
Preface Contributors 1. Introduction Rens Bod, Remko Scha and Khalil Sima-an 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 in Stochastic Parsing Models John Carroll and David Weir PART II: Computational Issues 5. Computational Complexity of Disambiguation under DOP1 Khalil Sima'an 6. Parsing DOP with Monte-Carlo Techniques Jean-Cedric Chappelier and Martin Rajman 7. An Alternative Approach to Monte Carlo Parsing Remko Bonnema 8. Efficient Parsing of DOP with PCFG-Reductions Joshua Goodman 9. An Approximation of DOP through Memory-Based Learning Guy de Pauw 10. Compositional Partial Parsing by Memory-Based Sequence Learning Ido Dagan and Yuval Krymolowski PART III: Richer Models 11. Tree-gram Parsing Khalil Sima'an 12. A DOP Model for Lexical-Functional Grammar Rens Bod and Ronald Kaplan 13. A Data-Driven Approach to Head-Driven Phrase Structure Grammar Gunter Neumann 14. Tree Adjoining Grammars and Their Application to Statistical Parsing Aravind Joshi and Anoop Sarkar 15. Localizing Dependencies and Supertagging Srinivas Bangalore 16. Statistical Parsing with an Automatically Extracted Tree Adjoining Grammar David Chiang 17. Extending DOP with Insertion Lars Hoogweg PART IV: Beyond Parsing 18. Machine Translation with Tree-DOP Arjen Poutsma 19. Machine Translation Using LFG-DOP Andy Way 20. Alignment-Based Learning versus Data-Oriented Parsing Menno van Zaanen Index
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