
Contents
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20.1. Introduction 20.1. Introduction
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20.2. A Preliminary Model 20.2. A Preliminary Model
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20.2.1. Learning by individuals 20.2.1. Learning by individuals
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20.2.2. Population dynamics 20.2.2. Population dynamics
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20.2.3. Some examples 20.2.3. Some examples
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20.2.3.1. A: memoryless learners 20.2.3.1. A: memoryless learners
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20.2.3.2. A: bateh-error-based learner 20.2.3.2. A: bateh-error-based learner
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20.2.3.3. A:cue-based learner 20.2.3.3. A:cue-based learner
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20.3. Further Directions 20.3. Further Directions
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20.4. Conclusions 20.4. Conclusions
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20 The Computational Study of Diachronic Linguistics
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Published:June 2002
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Abstract
This chapter introduces the basic framework for the computational study of diachronic phenomena in human languages and takes stock of the explosion of activity in computational models of language change and evolution. It focuses on the subtle interplay between language acquisition and change, building a population model which helps us to reason our way through the complex explanatory possibilities for language populations changing in time, analogously to recent practice in evolutionary biology. The Triggering Learning Algorithm approach to acquisition is used, in which children are error-driven, changing their grammars when they confront a sentence which cannot be analyzed by the present grammar.
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