• Corpus ID: 21543373

Self-organization of speech sound inventories in the framework of complex networks

  title={Self-organization of speech sound inventories in the framework of complex networks},
  author={Animesh Mukherjee},
The sound inventories of the world’s languages show a considerable extent of symmetry. It has been postulated that this symmetry is a reflection of the human physiological, cognitive and societal factors. There have been a large number of linguistically motivated studies in order to explain the selforganization of these inventories that arguably leads to the emergence of this symmetry. A few computational models in order to explain especially the structure of the smaller vowel inventories have… 


Self-organization of the Sound Inventories: Analysis and Synthesis of the Occurrence and Co-occurrence Networks of Consonants*
This work attempts to capture this phenomenon of self-organization, which shapes the structure of the consonant inventories, through a complex network approach, and defines the occurrence and co-occurrence networks of consonants and systematically study some of their important topological properties.
Modeling the Structure and Dynamics of the Consonant Inventories: A Complex Network Approach
It is argued that a possible interpretation of this mechanism of network growth is the process of child language acquisition and four novel synthesis models for these networks are proposed so as to successively match with higher accuracy the topological properties as well as the linguistic property of feature economy exhibited by the consonant inventories.
Analysis and Synthesis of the Distribution of Consonants over Languages: A Complex Network Approach
It is found that the consonant inventory size distribution together with the principle of preferential attachment are the main reasons behind the emergence of such a two regime behavior.
Language Diversity across the Consonant Inventories: A Study in the Framework of Complex Networks
It is argued that preferential attachement seems to be an appropriate high level abstraction for language acquisition and change in a complex network based growth model.
Emergence of Community Structures in Vowel Inventories: An Analysis Based on Complex Networks
This work identifies communities of vowels, which essentially reflect their patterns of co-occurrence across languages, and observes that in the assortative vowel communities the constituent nodes (read vowels) are largely uncorrelated in terms of their features indicating that they are formed based on the principle of maximal perceptual contrast.
Rediscovering the Co-Occurrence Principles of vowel inventories: a Complex Network Approach
This work defines a weighted network where the vowels are the nodes and an edge between two nodes (read vowels) signifies their co-occurrence likelihood over the vowel inventories, and identifies communities of vowels, which essentially reflect their patterns of co-Occurrence across languages.
Self-Organization in the Evolution of Speech
Pierre-Yves Oudeyer considers how spoken language first emerged, presents an original and integrated view of the interactions between self-organization and natural selection, reformulates questions about the origins of speech, and puts forward a startling proposal that speech can be spontaneously generated by the coupling of evolutionarily simple neural structures connecting perception and production.
This work attempts to automatically capture the patterns of co-occurrence of the consonants across languages and figure out the nature of the force leading to the emergence of such patterns, and proposes a theoretical information definition of feature economy.
Exploring the adaptive structure of the mental lexicon
It is found that while some aspects of a language's phonology maintain systematicity, others work against it, perhaps responding to the opposed pressure for word identification.
Global organization of the Wordnet lexicon
  • M. Sigman, G. Cecchi
  • Computer Science
    Proceedings of the National Academy of Sciences of the United States of America
  • 2002
A quantitative study of the graph structure of Wordnet to understand the global organization of the lexicon and shows that Wordnet has global properties common to many self-organized systems, and polysemy organizes the semantic graph in a compact and categorical representation, in a way that may explain the ubiquity of polyse my across languages.