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Towards Computer-Generated Cue-Target Mnemonics for E-Learning

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Computational Science and Technology

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 603))

Abstract

A novel method to generate memory aids for general forms of knowledge is presented. Mnemonic phrases are constructed using constraints of phonetic similarity to learning material, grammar, semantics, and factual consistency. The method has been implemented in Python using the CMU Pronouncing Dictionary, the CYC AI knowledge base, and Kneser-Ney 5-gram probabilities built from the large-scale COCA text corpus. Initial tests have produced encouraging output.

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References

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Acknowledgements

This work was funded by Universiti Malaysia Sabah under SGPUMS Grant SBK0363-2017.

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Authors and Affiliations

  1. Universiti Malaysia Sabah, 88400, Kota Kinabalu, Sabah, Malaysia

    James Mountstephens, Jason Teo Tze Wi & Balvinder Kaur Kler

Authors
  1. James Mountstephens
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  2. Jason Teo Tze Wi
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  3. Balvinder Kaur Kler
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Corresponding author

Correspondence to James Mountstephens .

Editor information

Editors and Affiliations

  1. Knowledge Technology Research Unit, Faculty of Computing and Informatics, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia

    Rayner Alfred

  2. School of Information Science, Security and Networks Area, Japan Advanced Institute of Science and Technology, Ishikawa, Japan

    Yuto Lim

  3. Department of Computer Science, Universitas Mulawarman, Samarinda, Indonesia

    Haviluddin Haviluddin

  4. Center of Data and Information Management, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia

    Chin Kim On

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Mountstephens, J., Wi, J.T.T., Kler, B.K. (2020). Towards Computer-Generated Cue-Target Mnemonics for E-Learning. In: Alfred, R., Lim, Y., Haviluddin, H., On, C. (eds) Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 603. Springer, Singapore. https://doi.org/10.1007/978-981-15-0058-9_37

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  • DOI: https://doi.org/10.1007/978-981-15-0058-9_37

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0057-2

  • Online ISBN: 978-981-15-0058-9

  • eBook Packages: EngineeringEngineering (R0)

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