Machine-Aided Linguistic Discovery: An Introduction and Some Examples
Vladimir Borissov Pericliev · 2010
Introduction 1. Introducing the Basic Notions 2. Parsimonious Discrimination I: KINSHIP and the Problem of Componential Analysis 3. Parsimonious Discrimination II: MPD and Other Applications 4. Inferring Plausible Laws/Patterns I: UNIVAUTO and the Problem of Language Universals 5. Inferring Plausible Laws/Patterns II: UNIVAUTO and Implicational Phonological Universals 6. Inferring Simplest Laws/Patterns: MINTYP and the Problem of Describing a Typology 7. Detecting Significant Similarities: RECLASS and the Problem of Genetic Language Classification 8. Concluding Remarks