Language evolves gradually through its use: over time, new forms come into fashion and others become obsolete. While traditionally a grammar provides a snapshot of an individual’s or a society’s linguistic competence at a given point in time, our aim is to extend grammars to incorporate competences related to evolution. This paper shows how language evolution can be modeled using Adaptable Grammars, which may be defined as logically based transformational grammars in which the grammar itself may be affected in a derivation step.
|Title of host publication||AI Methods for Interdisciplinary Research in Language and Biology : Proceedings of the 1st International Workshop on AI Methods for Interdisciplinary Research in Language and Biology - BILC 2011|
|Editors||Gemma Bel-Enguix, Veronica Dahl, Alfonso Ortega De La Puente|
|Place of Publication||Portugal|
|Publication status||Published - 2011|