Bio-Inspired Models for Natural and Formal Languages. Questo articolo non è disponibile.Bio-Inspired Models for Natural and Formal Languages

This volume is a collection of papers written by several researchers that have in common the use of bio-inspired models to approach formal and natural languages. The main goal of the volume is to promote interdisciplinarity among linguistics, biology and computation. The area of convergence between these three disciplines is giving rise to the emergence of new scientific paradigms that will have an epistemological, social and cultural impact. The book is organized around three thematic areas. Every area relates two of the three main topics: language, computation and biology.This volume stands out from existing publications because of its interdisciplinary nature. There has been a long tradition of interchanging methods among the aforementioned three disciplines, but it is difficult to find a single volume where this interchange of methods is shown. The volume includes chapters that clearly illustrate these interdisciplinary approaches and their benefits. This book will be of value to specialists who work in linguistics, biology or computation, and have interest in using methods from other disciplines that can provide new ideas, new tools and new formalisms to approach their problems, and that can help in the improvement of their theories and models.

Gemma Bel-Enguix has a Ramon y Cajal research position at the Department of Romance Philologies in the Universtitat Rovira i Virgili, Tarragona, Spain. She has been a pre-doctoral fellow at Leiden University and at UNAM University. As a postdoctoral fellow she worked at the universities of Georgetown and Milano-Bicocca. Her main research topic is the application of natural computing models in linguistic issues. M. Dolores Jiménez-López is Lecturer at the Department of Romance Philologies in the Universitat Rovira i Virgili, Tarragona, Spain. She worked for two years, as a pre-doctoral fellow, at the Computer and Automation Research Institute of the Hungarian Academy of Sciences in Budapest. Her post-doctoral training includes a three-year stay at the Department of Computer Science in the University of Pisa. Application of formal models to natural language analysis is one of her main research topics.