Structural Complexity in Linguistic Systems Research Topic 3: Mathematical Sciences

Abstract

We adapted computational mechanics to determine the role of structural complexity in linguistic systems, including language systems that adapt and evolve. The latter pose substantial challenges to any conventional communication-channel view of language. Our approach promised to overcome these difficulties, since it gives a clear and constructive view of structure in memoryful stochastic processes. In principle, this allows on to track how intrinsic structure evolves over time and to explore the tendency of language systems to develop in ways that balance structure (expressed in vocabulary and syntax) and entropy (the need to convey novelty and express meaning unpredicted by the receiver).

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2015
Accession Number
ADA626294

Entities

People

  • James P. Crutchfield

Organizations

  • University of California

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Communication Channels
  • Communication Systems
  • Complex Systems
  • Computational Mechanics
  • Computer Science
  • Excess Entropy
  • Hidden Markov Models
  • High Performance Computing
  • Information Theory
  • Language
  • Linguistics
  • Machine Learning
  • Markov Models
  • Stochastic Processes
  • Students

Readers

  • Computational Linguistics
  • Medical Imaging.
  • Systems Analysis and Design