The study of language variation and change has attracted more and more attention. However, the two concepts are used mixedly and interchangeably in many studies, which is misleading. The current study differentiates t...The study of language variation and change has attracted more and more attention. However, the two concepts are used mixedly and interchangeably in many studies, which is misleading. The current study differentiates the two closely related but different concepts in terms of their effects on language structures, temporal dimension and spatial/social dimension. Finally, the pedagogical implications are discussed.展开更多
Language change is the manner in which the phonetic, morphological, semantic, syntactic, and other features of a language are modified over time. Vocabulary can change quickly as new words are borrowed from other lang...Language change is the manner in which the phonetic, morphological, semantic, syntactic, and other features of a language are modified over time. Vocabulary can change quickly as new words are borrowed from other languages, or as words get combined or shortened. Information and communication technologies （ICT） are one of the major driving forces in the process of globalization. This paper focuses on some lexicon changes over the last two decades. In particular, affixation, compounding, blending, and meaning shift are illustrated in detail.展开更多
Social networks play an important role in determining the dynamics and outcome of language change.Early empirical studies only examine small-scale local social networks,and focus on the relationship between the indivi...Social networks play an important role in determining the dynamics and outcome of language change.Early empirical studies only examine small-scale local social networks,and focus on the relationship between the individual speakers’linguistic behaviors and their characteristics in the network.In contrast,computer models can provide an efficient tool to consider large-scale networks with different structures and discuss the long-term effect of individuals’learning and interaction on language change.This paper presents an agent-based computer model which simulates language change as a process of innovation diffusion,to address the threshold problem of language change.In the model,the population is implemented as a network of agents with age differences and different learning abilities,and the population is changing,with new agents born periodically to replace old ones.Four typical types of networks and their effect on the diffusion dynamics are examined.When the functional bias is sufficiently high,innovations always diffuse to the whole population in a linear manner in regular and small-world networks,but diffuse quickly in a sharp S-curve in random and scale-free networks.The success rate of diffusion is higher in regular and small-world networks than in random and scale-free networks.In addition,the model shows that as long as the population contains a small number of statistical learners who can learn and use both linguistic variants statistically according to the impact of these variants in the input,there is a very high probability for linguistic innovations with only small functional advantage to overcome the threshold of diffusion.展开更多
文摘The study of language variation and change has attracted more and more attention. However, the two concepts are used mixedly and interchangeably in many studies, which is misleading. The current study differentiates the two closely related but different concepts in terms of their effects on language structures, temporal dimension and spatial/social dimension. Finally, the pedagogical implications are discussed.
文摘Language change is the manner in which the phonetic, morphological, semantic, syntactic, and other features of a language are modified over time. Vocabulary can change quickly as new words are borrowed from other languages, or as words get combined or shortened. Information and communication technologies （ICT） are one of the major driving forces in the process of globalization. This paper focuses on some lexicon changes over the last two decades. In particular, affixation, compounding, blending, and meaning shift are illustrated in detail.
文摘Social networks play an important role in determining the dynamics and outcome of language change.Early empirical studies only examine small-scale local social networks,and focus on the relationship between the individual speakers’linguistic behaviors and their characteristics in the network.In contrast,computer models can provide an efficient tool to consider large-scale networks with different structures and discuss the long-term effect of individuals’learning and interaction on language change.This paper presents an agent-based computer model which simulates language change as a process of innovation diffusion,to address the threshold problem of language change.In the model,the population is implemented as a network of agents with age differences and different learning abilities,and the population is changing,with new agents born periodically to replace old ones.Four typical types of networks and their effect on the diffusion dynamics are examined.When the functional bias is sufficiently high,innovations always diffuse to the whole population in a linear manner in regular and small-world networks,but diffuse quickly in a sharp S-curve in random and scale-free networks.The success rate of diffusion is higher in regular and small-world networks than in random and scale-free networks.In addition,the model shows that as long as the population contains a small number of statistical learners who can learn and use both linguistic variants statistically according to the impact of these variants in the input,there is a very high probability for linguistic innovations with only small functional advantage to overcome the threshold of diffusion.
