2. ICGI 1994: Alicante, Spain

• Enrique Vidal:
  Grammatical Inference: An Introduction Survey. 1-4
  

Session 1: Formal Aspects

• Alon Itai:
  Learning Morphology - Practice Makes Good. 5-15
  
• Yuji Takada:
  A Hierarchy of Language Families Learnable by Regular Language Learners. 16-24
  
• Pierre Dupont, Laurent Miclet, Enrique Vidal:
  What Is the Search Space of the Regular Inference? 25-37
  
• José M. Sempere, Pedro García:
  A Characterization of Even Linear Languages and its Application to the Learning Problem. 38-44
  
• Liviu-Virgil Ciortuz:
  Object-Oriented Inferences in a Logical Framework for Feature Grammars. 45-56
  

Session 2: Language Modelling and Linguistic Applications (1)

• Michèle Jardino, Gilles Adda:
  Automatic Determination of a Stochastic Bi-Gram Class Language Model. 57-65
  
• Carl de Marcken:
  The Acquisition of a Lexicon from Paired Phoneme Sequences and Semantic Representations. 66-77
  
• Stephen Della Pietra, Vincent J. Della Pietra, John R. Gillet, John D. Lafferty, Harry Printz, Lubos Ures:
  Inference and Estimation of a Long-Range Trigram Model. 78-92
  
• Antonio Castellanos, Isabel Galiano, Enrique Vidal:
  Application of OSTIA to Machine Translation Tasks. 93-105
  

Session 3: Stochastic Approaches

• Andreas Stolcke, Stephen M. Omohundro:
  Inducing Probabilistic Grammars by Bayesian Model Merging. 106-118
  
• Francisco Casacuberta:
  Statistical Estimation of Stochastic Context-Free Grammars Using the Inside-Outside Algorithm and a Transformation on Grammars. 119-129
  
• Juan Andrés Sánchez, José-Miguel Benedí:
  Statistical Inductive Learning of Regular Formal Languages. 130-138
  
• Rafael C. Carrasco, José Oncina:
  Learning Stochastic Regular Grammars by Means of a State Merging Method. 139-152
  

Session 4: Applications and Performance Analysis

• Helena Ahonen, Heikki Mannila, Erja Nikunen:
  Forming Grammars for Structured Documents: an Application of Grammatical Inference. 153-167
  
• Simon M. Lucas, Enrique Vidal, A. Amiri, S. Hanlon, Juan-Carlos Amengual:
  A Comparison of Syntactic and Statistical Techniques for Off-Line OCR. 168-179
  
• José Ruiz, Pedro García:
  The Algorithms RT and k-TTI: a First Comparison. 180-188
  

Session 5: Neural Networks, Genetic Algorithms and Artificial Intelligence Techniques

• Martine Roques:
  Dynamic Grammatical Representations in Guided Propagation Networks. 189-202
  
• René Alquézar, Alberto Sanfeliu:
  A Hybrid Connectionist-Symbolic Approach to Regular Grammatical Inference Based on Neural Learning and Hierarchical Clustering. 203-211
  
• Jean-Yves Giordano:
  Inference of Context-Free Grammars by Enumeration: Structural Containment as an Ordering Bias. 212-221
  
• Peter J. Wyard:
  Representational Issues for Context Free Grammar Induction Using Genetic Algorithms. 222-235
  
• Pierre Dupont:
  Regular Grammatical Inference from Positive and Negative Samples by Genetic Search: the GIG Method. 236-245
  

Session 6: Language Modelling and Linguistic Applications (2)

• Jeremy H. Wright, Gareth J. F. Jones, Harvey Lloyd-Thomas:
  Training and Application of Integrated Grammar/Bigram Language Models. 246-259
  
• Miles Osborne, Derek G. Bridge:
  Learning Unification-Based Grammars Using the Spoken English Corpus. 260-270
  
• M. D. Dennis, Alan M. Wallington, Geoffrey Sampson:
  Stochastic Optimization of a Probabilistic Language Model. 271-281
  
• S. J. Young, H.-H. Shih:
  Computer Assisted Grammar Construction. 282-290
  

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