• About
  • Policies
  • What is open access
  • Library
  • Contact
Advanced search
      View Item 
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Computer Engineering
      • View Item
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Computer Engineering
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Quantitative analysis of spoken discourse using memoirs of old-time moviegoers

      Thumbnail
      View / Download
      1.8 Mb
      Author(s)
      Çalışkan, Sevil
      Can, Fazlı
      Akbulut, H.
      Öztürk, S. R.
      Date
      2021-02-24
      Source Title
      Journal of Quantitative Linguistics
      Print ISSN
      0929-6174
      Electronic ISSN
      1744-5035
      Publisher
      Routledge
      Volume
      29
      Issue
      3
      Pages
      283 - 313
      Language
      English
      Type
      Article
      Item Usage Stats
      56
      views
      99
      downloads
      Abstract
      We present the first quantitative analysis of spoken discourse for the Turkish language using memoirs of a group of old-time moviegoers of varying age groups whose birth year spreads over a period of four decades ranging from the 1930s to the 1960s. They tell their experiences by answering a set of questions. Their responses are evaluated comprehensively with the expectation that various attributes of the participants are reflected by their everyday speaking language. We also investigate their language characteristics in terms of their vocabulary richness and word usage. The results show that the age and gender of the participants can be inferred to some extent from their speech, as is the case for written text. However, the difference is not significant in the language use of younger and older respondents in terms of vocabulary richness and archaic word usage. With additional data obtained for some participants, it is shown that text can be accurately identified as being either spoken or written; however, the spoken text of a person can only be differentiated from their written text with the accuracy level of a random guess.
      Permalink
      http://hdl.handle.net/11693/77384
      Published Version (Please cite this version)
      https://doi.org/10.1080/09296174.2021.1873574
      Collections
      • Department of Computer Engineering 1561
      Show full item record

      Browse

      All of BUIRCommunities & CollectionsTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsCoursesThis CollectionTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsCourses

      My Account

      Login

      Statistics

      View Usage StatisticsView Google Analytics Statistics

      Bilkent University

      If you have trouble accessing this page and need to request an alternate format, contact the site administrator. Phone: (312) 290 2976
      © Bilkent University - Library IT

      Contact Us | Send Feedback | Off-Campus Access | Admin | Privacy