Name
Abstract | ||
|---|---|---|
Human language is the key evolutionary innovation that makes humans different from other species. And yet, the fabric of language is tangled and all levels of description (from semantics to syntax) involve multiple layers of complexity. Recent work indicates that the global traits displayed by such levels can be analyzed in terms of networks of connected words. Here, we review the state of the art on language webs and their potential relevance to cognitive science. The emergence of syntax through language acquisition is used as a case study to illustrate how the approach can shed light into relevant questions concerning language organization and its evolution. © 2010 Wiley Periodicals, Inc. Complexity, 2010 |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1002/cplx.v15:6 | Complexity |
Keywords | Field | DocType |
global trait,wiley periodicals,network theory,language network,language organization,human language,inc. complexity,phase transitions,case study,evolution,language web,syntax,key evolutionary innovation,language acquisition,connected word,neural networks,language,complex networks,communication system,cognitive science,phase transition,complex network,neural network,scale free,structure function | On Language,Computer science,Language acquisition,Complex network,Universal Networking Language,Artificial intelligence,Network theory,Artificial neural network,Syntax,Semantics,Machine learning | Journal |
Volume | Issue | ISSN |
15 | 6 | 1076-2787 |
Citations | PageRank | References |
44 | 2.79 | 15 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ricard V. Solé | 1 | 377 | 47.63 |
| Bernat Corominas-Murtra | 2 | 95 | 10.86 |
| Sergi Valverde | 3 | 228 | 24.13 |
| Luc Steels | 4 | 1406 | 329.40 |