Towards Computer-Generated Cue-Target Mnemonics for E-Learning
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 Diction...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
2020
|
| Online Access: | https://eprints.ums.edu.my/id/eprint/25406/1/Towards%20Computer-Generated%20Cue-Target%20Mnemonics%20for%20E-Learning%201.pdf |
| _version_ | 1825713877290057728 |
|---|---|
| author | James Mountstephens Teo, Jason Tze Wi Balvinder Kaur Kler |
| author_facet | James Mountstephens Teo, Jason Tze Wi Balvinder Kaur Kler |
| author_sort | James Mountstephens |
| collection | UMS |
| description | 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. |
| first_indexed | 2024-03-06T03:03:24Z |
| format | Article |
| id | ums.eprints-25406 |
| institution | Universiti Malaysia Sabah |
| language | English |
| last_indexed | 2024-03-06T03:03:24Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ums.eprints-254062020-05-18T05:14:39Z https://eprints.ums.edu.my/id/eprint/25406/ Towards Computer-Generated Cue-Target Mnemonics for E-Learning James Mountstephens Teo, Jason Tze Wi Balvinder Kaur Kler 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. 2020 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/25406/1/Towards%20Computer-Generated%20Cue-Target%20Mnemonics%20for%20E-Learning%201.pdf James Mountstephens and Teo, Jason Tze Wi and Balvinder Kaur Kler (2020) Towards Computer-Generated Cue-Target Mnemonics for E-Learning. Computational Science and Technology, 603. pp. 383-392. https://doi.org/10.1007/978-981-15-0058-9_37 |
| spellingShingle | James Mountstephens Teo, Jason Tze Wi Balvinder Kaur Kler Towards Computer-Generated Cue-Target Mnemonics for E-Learning |
| title | Towards Computer-Generated Cue-Target Mnemonics for E-Learning |
| title_full | Towards Computer-Generated Cue-Target Mnemonics for E-Learning |
| title_fullStr | Towards Computer-Generated Cue-Target Mnemonics for E-Learning |
| title_full_unstemmed | Towards Computer-Generated Cue-Target Mnemonics for E-Learning |
| title_short | Towards Computer-Generated Cue-Target Mnemonics for E-Learning |
| title_sort | towards computer generated cue target mnemonics for e learning |
| url | https://eprints.ums.edu.my/id/eprint/25406/1/Towards%20Computer-Generated%20Cue-Target%20Mnemonics%20for%20E-Learning%201.pdf |
| work_keys_str_mv | AT jamesmountstephens towardscomputergeneratedcuetargetmnemonicsforelearning AT teojasontzewi towardscomputergeneratedcuetargetmnemonicsforelearning AT balvinderkaurkler towardscomputergeneratedcuetargetmnemonicsforelearning |