Formal Grammar 14th International Conference FG 2009 Bordeaux France July 25 26 2009 Revised Selected Papers 1st Edition by Philippe de Groote, ‎Markus Egg, ‎Laura Kallmeyer ISBN 9783642201684 by Tamar Aizikowitz, Michael Kaminski (auth.), Philippe De Groote, Markus Egg, Laura Kallmeyer (eds.) 9783642201684, 3642201687 instant download after payment.

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ISBN 13: 9783642201684
Author: Philippe de Groote, ‎Markus Egg, ‎Laura Kallmeyer

This book constitutes the refereed proceedings of the 14th International Conference on Formal Grammar 2009, held in Bordeaux, France, in July 2009. The 13 revised full papers presented, including two invited talks, were carefully reviewed and selected from 26 submissions. These articles in this book give an overview of new and original research on formal grammar, mathematical linguistics and the application of formal and mathematical methods to the study of natural language.

Formal Grammar 14th International Conference FG 2009 Bordeaux France July 25 26 2009 Revised Selected Papers 1st Table of contents:

1. Contributed Papers
2. Linear Conjunctive Grammars and One-Turn Synchronized Alternating Pushdown Automata
3. Introduction
4. Preliminaries
5. Conjunctive Grammars
6. Linear Conjunctive Grammars
7. Synchronized Alternating Pushdown Automata
8. One-Turn Synchronized Alternating Pushdown Automata
9. Linear CG and One-Turn SAPDA
10. Proof of the ``only if'' Part of Theorem 1
11. Proof of the ``if'' Part of Theorem 1
12. Mildly Context-Sensitive Languages
13. Concluding Remarks
14. References
15. A Model-Theoretic Framework for Grammaticality Judgements
16. Introduction
17. Gradience
18. Property Grammars
19. Strong Semantics
20. Loose Semantics
21. Modeling Judgements of Acceptability
22. Formalizing Judgements of Acceptability
23. Index of Grammaticality
24. Index of Coherence
25. Experimental Validation and Perspectives
26. Conclusion
27. References
28. Multi-Component Tree Insertion Grammars
29. Introduction
30. Basic Notions and Notations
31. Tree Insertion Grammars
32. Multi-Component Tree Adjoining Grammars
33. Positive Range Concatenation Grammars
34. TAGs and MCTAGs vs. Simple PRCGs
35. Transforming TAGs into Simple 2-PRCGs
36. Transforming Set-Local k-MCTAGs into Simple 2k-PRCGs
37. Simple 2-PRCGs vs. TAGs
38. Multi-Component TIGs
39. Definition
40. TIGs are Equivalent to Simple 1-PRCGs
41. 2-MCTIGs and Simple 2-PRCGs are Equivalent
42. TAGs vs. 2-MCTIGs
43. 2k-MCTIGs Are Equivalent to Simple 2k-PRCGs
44. k-MCTAGs vs. 2k-MCTIGs
45. Conclusion: Hierarchies Comparison
46. References
47. A Grammar Correction Algorithm
48. Introduction
49. How to Check Grammars
50. Minimal Correction Cost
51. Positive Grammar vs. Negative Grammar
52. Shallow and Deep Parsing
53. Positive Error Parsing and Correction
54. Lexical Correction
55. The Principle of Constraint Relaxation
56. Signaling Errors
57. Error Mining
58. Combinatorial Reduction and Control
59. Related Work
60. Conclusion
61. References
62. D-STAG: A Formalism for Discourse Analysis Based on SDRT and Using Synchronous TAG
63. Introduction
64. Discursive Linguistic Data
65. Introduction to TAG and STAG
66. Sentence-Discourse Interface
67. Discursive Component of D-STAG
68. Adverbial Connectives and Postposed Conjunctions
69. Preposed Conjunctions
70. Modifiers of Discourse Connectives/Relations
71. Coordinating Conjunctions
72. Comparison between D-STAG and D-LTAG
73. Conclusion
74. References
75. An Efficient Enumeration Algorithm for Canonical Form Underspecified Semantic Representations
76. Introduction
77. Canonical Form Underspecified Representation
78. An Informal Introduction
79. The Formal Definition
80. Dependency Graph
81. Scoping in First Order CF-UR
82. Satisfiability Algorithm
83. Enumeration Algorithm
84. Scoping with Operators
85. Related Work
86. Conclusion
87. References
88. A Unified Account of Hausa Genitive Constructions
89. Major Functions of the Hausa Genitive Linker
90. Possessives
91. Objects of Strong Verbal Nouns
92. Pre-nominal Adjectives
93. Arguments against Cliticisation
94. Analysis
95. Strong Verbal Nouns
96. Possessives
97. Adjectives
98. Conclusion
99. References
100. The Generative Capacity of the Lambek–Grishin Calculus: A New Lower Bound
101. Introduction
102. The Lambek–Grishin Calculus
103. Main Proof
104. Examples
105. Conclusion
106. References
107. A Savateev-Style Parsing Algorithm for Pregroup Grammars
108. Introduction
109. Preliminaries
110. Parsing Algorithm
111. Definition of the Function M
112. The Recognition Algorithm
113. Obtaining the Reduction
114. Examples
115. Algorithms of Oehrle and Savateev
116. Conclusion
117. References
118. Term Graphs and the NP-Completeness of the Product-Free Lambek Calculus
119. Introduction
120. The Lambek Calculus and Term Graphs
121. The Lambek Calculus
122. Term Graphs
123. Term Graph Correctness
124. NP-Completeness Proof
125. Conclusion
126. References
127. Characterizing Discontinuity in Constituent Treebanks
128. Introduction
129. Discontinuity Measures
130. Syntactic Structures
131. Discontinuity Measures
132. Further Properties of Constituent Structures
133. Properties of Extracted Grammars
134. Simple Range Concatenation Grammar
135. Grammar Extraction
136. Grammar Properties
137. Empirical Investigation
138. Non-projective Dependency Structures
139. Discontinuous Constituent Structures
140. Conclusion
141. References
142. A Learnable Representation for Syntax Using Residuated Lattices
143. Contexts and Syntactic Concepts
144. Concept Lattice
145. Monoid Structure
146. Partial Lattice
147. Learnability
148. Power of the Representation
149. Categorial Grammars
150. Context Free Grammars
151. Context Sensitive
152. Conclusion
153. References
154. Prior Knowledge in Learning Finite Parameter Spaces
155. Introduction
156. Metrical Stress Parameters and the Learning Problem
157. Syllable Structure and Stress Assignment
158. The Stress System Parameters
159. Inclusion of Prior Knowledge
160. The Learning Algorithm
161. The Multi-armed Bandit Problem
162. The Prior Knowledge Multi-armed Bandit Algorithm
163. Application to the Grammar Learning Problem
164. The Arm Selection Problem
165. Sampling Arm Selection
166. Experiments
167. The Data
168. The Experiment Design and General Results
169. Varying the Probability Distributions
170. The Impact of Noise
171. Comparison with TLA and RWA
172. Discussion and Future Directions
173. References

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