Evolution of grammatical forms: some quantitative approaches
This work addresses the evolution of language for linguists and computational modelers, but it is incremental as it applies existing statistical physics concepts to linguistic phenomena.
The paper tackled the problem of how grammatical forms evolve through descent and contact mechanisms, using statistical physics models to show that exceptional forms emerge when cross-language influence outweighs regularization within languages.
Grammatical forms are said to evolve via two main mechanisms. These are, respectively, the `descent' mechanism, where current forms can be seen to have descended (albeit with occasional modifications) from their roots in ancient languages, and the `contact' mechanism, where evolution in a given language occurs via borrowing from other languages with which it is in contact. We use ideas and concepts from statistical physics to formulate a series of static and dynamical models which illustrate these issues in general terms. The static models emphasise the relative numbers of rules and exceptions, while the dynamical models focus on the emergence of exceptional forms. These unlikely survivors among various competing grammatical forms are winners against the odds. Our analysis suggests that they emerge when the influence of neighbouring languages exceeds the generic tendency towards regularisation within individual languages.