Skip to main content

The Learning of Morphological Principles: A Statistical Learning Study on a System of Artificial Scripts

  • Conference paper
Advances in Automation and Robotics, Vol.1

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 122))

  • 2374 Accesses

Abstract

By using a familiarization-preference procedure, the current study investigated the statistical learning of two morphological principles without providing any phonological cues. A series of experiments was conducted by varying learning duration. After a relatively short period of exposure to the learning stimuli, participants firstly learned the co-occurrence regularity; in comparison, the learning of graphic position required more exposure to the learning stimuli. These findings suggest that these two morphological principles could be acquired without phonological cues, but they were not equally easy to learn.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Saffran, J.R., Newport, E.L., Aslin, R.N., Tunick, R.A., Barrueco, S.: Incidental Language Learning: Listening (and Learning) out of the Corner of Your Ear. Psychol. Sci. 8, 101–105 (1997)

    Article  Google Scholar 

  2. Christiansen, M.H., Allen, J., Seidenberg, M.S.: Learning to Segment Speech Using Multiple Cues: A Connectionist Model. Lang. Cogn. Process. 13, 221–268 (1998)

    Article  Google Scholar 

  3. Brent, M.R., Cartwright, T.A.: Distributional Regularity and Phonotactic Constraints Are Useful for Segmentation. Cognition 61, 93–125 (1996)

    Article  Google Scholar 

  4. Saffran, J.R., Aslin, R.N., Newport, E.L.: Statistical Learning by 8-Month-Old Infants. Science 274, 1926–1928 (1996)

    Article  Google Scholar 

  5. Aslin, R.N., Saffran, J.R., Newport, E.L.: Computation of Conditional Probability Statistics by 8-Month-Old Infants. Psychol. Sci. 9, 321–324 (1998)

    Article  Google Scholar 

  6. Pacton, S., Fayol, M., Perruchet, P.: Children’s Implicit Learning of Graphotactic and Morphological Regularities. Child Dev. 76, 324–339 (2005)

    Article  Google Scholar 

  7. Pacton, S., Perruchet, P., Fayol, M., Cleeremans, A.: Implicit Learning out of the Lab: The Case of Orthographic Regularities. J. Exp. Psychol.-Gen. 130, 401–426 (2001)

    Article  Google Scholar 

  8. Treiman, R., Kessler, B.: Spelling as statistical learning: Using consonantal context to spell vowels. J. Educ. Psychol. 98, 642–652 (2006)

    Article  Google Scholar 

  9. Perfetti, C.A., Liu, Y., Fiez, J., Nelson, J., Bolger, D.J., Tan, L.H.: Biling.-Lang. Cogn. 10, 131–146 (2007)

    Article  Google Scholar 

  10. Taft, M., Zhu, X.P., Peng, D.L.: Positional Specificity of Radicals in Chinese Character Recognition. J. Mem. Lang. 40, 498–519 (1999)

    Article  Google Scholar 

  11. Taft, M., Zhu, X.P.: Submorphemic Processing in Reading Chinese. J. Exp. Psychol. Learn. Mem. Cogn. 23, 761–775 (1997)

    Article  Google Scholar 

  12. Ding, G.S., Peng, D.L., Taft, M.: The Nature of the Mental Representation of Radicals in Chinese: A Priming Study. J. Exp. Psychol. Learn. Mem. Cogn. 30, 530–539 (2004)

    Article  Google Scholar 

  13. Jusczyk, P.W., Aslin, R.N.: Infants’ Detection of the Sound Patterns of Words in Fluent Speech. Cogn. Psychol. 29, 1–23 (1995)

    Article  Google Scholar 

  14. Schneider, W., Eschman, A., Zuccolotto, A.: E-Prime: User’s Guide. Psychology Software Inc. (2002)

    Google Scholar 

  15. Fiser, J., Aslin, R.N.: Statistical Learning of Higher-Order Temporal Structure from Visual Shape Sequences. J. Exp. Psychol. Learn. Mem. Cogn. 28, 458–467 (2002)

    Article  Google Scholar 

  16. Fiser, J., Aslin, R.N.: Unsupervised Statistical Learning of Higher-Order Spatial Structures from Visual Scenes. Psychol. Sci. 12, 499–504 (2001)

    Article  Google Scholar 

  17. Saffran, J.R., Newport, E.L., Aslin, R.N.: Word Segmentation: The Role of Distributional Cues. J. Mem. Lang. 35, 606–621 (1996)

    Article  Google Scholar 

  18. Johnson, E.K., Jusczyk, P.W.: Word Segmentation by 8-Month-Olds: When Speech Cues Count More Than Statistics. J. Mem. Lang. 44, 548–567 (2001)

    Article  Google Scholar 

  19. Newport, E.L., Aslin, R.N.: Learning at a Distance I. Statistical Learning of Non-Adjacent Dependencies. Cogn. Psychol. 48, 127–162 (2004)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wu, Q., Fang, X., Chen, Q., Li, Y., Deng, Y. (2011). The Learning of Morphological Principles: A Statistical Learning Study on a System of Artificial Scripts. In: Lee, G. (eds) Advances in Automation and Robotics, Vol.1. Lecture Notes in Electrical Engineering, vol 122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25553-3_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-25553-3_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25552-6

  • Online ISBN: 978-3-642-25553-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics