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How Should I Read This Word?: The Influence of Vowelization in a Deep Language Orthography on Online Text Comprehension

  • Karen Precel
  • Ronit Webman
  • Yoram Eshet
  • Batsheva Engelberg-Behr
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5616)

Abstract

This study examined whether online text vowelization of words in context facilitates reading in Hebrew, which is a deep orthography language. The study compared the effect of vowelization on reading among native and non-native Hebrew speakers. In Study 1, 44 participants performed a self-paced reading - cumulative presentation task [9], that includes a 2 (voweled/non-voweled) X 2 (frequent/non-frequent) X 2 (homographs/unambiguous words) X 2 (location of words: beginning or middle/end of sentence) design. Study 2 was conducted in order to deal with some of the methodological problems in study 1. Eighty-six participants performed the same task. Results indicated that vowelization does not facilitate reaction times of homographs for both Hebrew and non-Hebrew speakers. The results are discussed in relation to previous studies and the participants’ characteristics.

Keywords

Target Word Native Speaker Comprehension Question High Frequency Word Experimental Sentence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Karen Precel
    • 1
  • Ronit Webman
    • 2
  • Yoram Eshet
    • 1
  • Batsheva Engelberg-Behr
    • 1
  1. 1.Chais Research Center for the Integration of Technology in EducationThe Open University of IsraelIsrael
  2. 2.The Graduate CenterCity University of New YorkUSA

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