Prediction of Creole Emergence in Spatial Language Dynamics

  title={Prediction of Creole Emergence in Spatial Language Dynamics},
  author={Makoto Nakamura and Takashi Hashimoto and Satoshi Tojo},
Creole is a new born language emerging in most cases where language contact takes place. Simulating behaviors that creole communities are formed in some environments, we could contribute to actual proof of some linguistic theories concerning language acquisition. Thus far, a simulation study of the emergence of creoles has been reported in the mathematical framework. In this paper we introduce a spatial structure to the framework. We show that local creole communities are organized, and… 
Simulation of the Emergence of Language Groups Using the Iterated Learning Model on Social Networks
It is shown that an excessive string-clipping as well as a language exposure may constrain the appearance of local language community, independent of the shape of networks.
Simulation of Emergence of Local Common Languages Using Iterated Learning Model on Social Networks
This work proposes an agent-based model with Kirby’s iterated learning model and complex networks, putting learning agents on each node in the social network, and examines the effectiveness of string-clipping and the relation between generations for learning and the number of local common languages.
On Language Models for Creoles
This paper collects existing corpora and release models for Haitian Creole, Nigerian Pidgin English, and Singaporean Colloquial English and finds that the standard language models are superior to the distributionally robust ones.
Modeling the emergence of a new language: Naming Game with hybridization
A stochastic modification of the Naming Game model is introduced with the aim of characterizing the emergence of a new language as the result of the interaction of agents, and displays a rich variety of behaviours, despite the simple mean field topology of interactions.
A Grammatical View of Language Evolution
This paper shows an application of Adaptable Grammars to language evolution, a logically based transformational grammar formalism originally intended for describing software systems and programming languages, and suggests the possibility of applying adaptable grammARS to natural language change.
Self-Organizing Systems
Basic economic principles which have been developed in financial markets to a future smart grid scenario are applied and show and explain how market conditions can lead to collective bargaining of consumers and monopolistic behaviour of suppliers and conclude with observations on automated trading for smart grids.


Creole Viewed from Population Dynamics
Creole is one of the main topics in various fields concerning the language origin and the language change, such as sociolinguistics, the developmental psychology of language, paleoanthropology and so
Exposure Dependent Creolization in Language Dynamics Equation
The learning algorithm in this model is revised, considering the amount of language input during the language acquisition period, and it is shown that creolization occurs only when the influence of mother tongues and the socially dominant languages balance.
Linguistics: Modelling the dynamics of language death
A simple model of language competition is developed that explains historical data on the decline of Welsh, Scottish Gaelic, Quechua, and other endangered languages and a linguistic parameter that quantifies the threat of language extinction can be derived.
Language and species
  • D. McNeill
  • Linguistics
    International Journal of Primatology
  • 2006
Bickerton produces his first surprising insight: language is not continuous with animal communication systems, and this is where the evolutionary roots of language should be sought.
The Evolution of Language:: Proceedings of the 7th International Conference
The latest theoretical, experimental and modeling research on language evolution is presented in this collection and includes contributions from leading scientists such as Derek Bickerton, Rudolf Botha, Camilo Cela Conde, Francesco d'Erico, Susan Goldin-Meadow, Simon Kirby, Gary Marcus, Steven Pinker and Juan Uriagereka.
Linguistic Evolution through Language Acquisition: Formal and Computational Models.
This book is really two books, which do not communicate with each other once one gets past the editor’s introduction in chapter 1, and which use computer simulation to demonstrate that agents with no innate syntactic structure can interact to create and preserve both the lexicon and syntax of languages over many generations.
Evolution of universal grammar.
This work presents a mathematical framework for the evolutionary dynamics of grammar learning and calculates the condition under which natural selection favors the emergence of rule-based, generative grammars that underlie complex language.
Simulating the Evolution of Language
This volume provides a comprehensive survey of computational models and methodologies used for studying the origin and evolution of language and communication. With contributions from the most
The informational complexity of learning - perspectives on neural networks and generative grammar
The Informational Complexity of Learning: Perspectives on Neural Networks and Generative Grammar brings together two important but very different learning problems within the same analytical framework to analyze both kinds of learning problems.
Modelling language competition: bilingualism and complex social networks
The evolution of language is studied in detail in the context of Esperanto, with particular attention to the role of language-based criticism and its role in the development of vocabulary.