IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-03945-4_16.html
   My bibliography  Save this book chapter

Mathematical Linguistics and Cognitive Complexity

In: Handbook of Cognitive Mathematics

Author

Listed:
  • Aniello De Santo

    (University of Utah, Department of Linguistics)

  • Jonathan Rawski

    (San Jose State University, Department of Linguistics & Language Development)

Abstract

The complexity of linguistic patterns has been object of extensive debate in research programs focused on probing the inherent structure of human language abilities. But in what sense is a linguistic phenomenon more complex than another, and what can complexity tell us about the connection between linguistic typology and human cognition? This chapter approaches these questions by presenting a broad and informal introduction to the vast literature on formal language theory, computational learning theory, and artificial grammar learning. In doing so, it hopes to provide readers with an understanding of the relevance of mathematically grounded approaches to cognitive investigations into linguistic complexity, and thus further fruitful collaborations between cognitive scientists and mathematically inclined linguist and psychologist.

Suggested Citation

  • Aniello De Santo & Jonathan Rawski, 2022. "Mathematical Linguistics and Cognitive Complexity," Springer Books, in: Marcel Danesi (ed.), Handbook of Cognitive Mathematics, chapter 33, pages 1015-1051, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-03945-4_16
    DOI: 10.1007/978-3-031-03945-4_16
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-031-03945-4_16. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.