Abramov, Olga: Network theory applied to linguistics: new advances in language classification and typology. 2012
Inhalt
- LIST OF FIGURES
- LIST OF ABBREVIATIONS
- ABSTRACT
- Introduction
- Language Classification and Typology
- Introduction
- Directions in Typology
- Language Change and Areal Effects
- Related Work on Language Networks
- Summary
- Modeling Learning of Derivation Morphology in a Multi-Agent Simulation
- Introduction
- Theoretical Background
- Game Setting
- Experimentation
- Results and Discussion
- Summary
- Morphological Networks
- Introduction
- Morphological Derivation Networks
- Decomposition of productive suffixes
- Network Definition
- Data: Networks and their Topological Properties
- Measuring the Entropy of MDNs
- Graph Entropy by means of Information Functionals
- Information Functional on the Set J={1,2,...,}
- Information Functional based on Distances
- Information Functional based on the Distribution of Distance Sums
- Information Functional based on Betweenness Centralities
- Evaluation
- Results
- Discussion
- Summary
- Phonological Networks
- Introduction
- Related Work
- Approach
- Experiments
- Measuring the inner-language-family distance
- Experiment 1a: 5 Families and 118 languages in total.
- Experiment 1b: 3 Families and 177 languages in total.
- Measuring the distances between sub-groups of a single language family
- Ranking of language families
- Measuring the similarity between sub-groups of different language families
- Language Typology by means of LaPNet
- Network Definition
- Constructing LaPNets using the similarity index s
- Evaluating the Similarity Index s
- Unifying the asymmetric similarity s
- Language Comparison by means of LaPNet
- Summary
- Syntactic Dependency Networks
- Introduction
- Selecting the appropriate Syntactic Framework
- Treebanks – Levels of Diversification
- Dependency Theories Used
- Treebanks developed by means of Functional Generative Description (FGD)
- Treebanks relying on HPSG
- Treebanks based on Word Grammar (WG)
- Data: Dependency Treebanks Used
- Alpino Dependency Treebank
- Bulgarian BulTreeBank
- Catalan Cat3LB Treebank
- Spanish Cast3LB Treebank
- Romanian Dependency Treebank
- Italian Turin University Treebank
- Czech Prague Dependency Treebank
- Russian Dependency Treebank
- Slovene Dependency Treebank
- Danish Dependency Treebank
- Swedish Talbanken05 Dependency Treebank
- Latin Dependency Treebank 1.4
- Ancient Greek Dependency Treebank
- Verbmobil Japanese Dependency Treebank
- English (CoNNL) Dependency Treebank
- METU Sabanci Turkish Dependency Treebank
- German TIGER-DB Dependency Treebank
- Summary
- Constructing Global Syntactic Dependency Networks
- Summary
- Network Indices
- Introduction
- Indices - Description, Definition, Interpretation
- Average Geodesic Distance
- Average Degree
- Clustering
- Degree Distribution
- Connectivity Correlations
- Centrality
- The Distribution of Components
- Compactness
- Cohesion
- Stratum
- Typological Interpretation of the Results obtained for GSDNs
- Summary
- Genealogical Classification Experiments
- Introduction
- Two Alternative Approaches to Automatic Language Classifications
- Experimentation
- Experiment 1: 11 Languages
- Experiment 2: Increasing the Size of Language Families
- Experiment 3: Increasing the Number of Language Families
- Summary
- Summary and Conclusion
- APPENDICES
- BIBLIOGRAPHY