Abstract
This paper proposes a computational model of Korean mental lexicon which can explain very basic findings that are observed using the visual Korean lexical decision task. The model is Frequency-based trie which is based on the trie data structure. Alphabets in each node of the Frequency-based trie is sorted in descending order by by their frequency in the corpus. It is the main idea which enables the model to simulate the Korean mental lexicon. There will be evaluations and comparison results with human data: how well the model simulates Korean word processing and how much the simulated results coincide with that of human processing. We also discuss both the strength and weakness of the computational model.
| Original language | English |
|---|---|
| Pages (from-to) | 1129-1134 |
| Number of pages | 6 |
| Journal | Lecture Notes in Computer Science |
| Volume | 3480 |
| Issue number | I |
| DOIs | |
| Publication status | Published - 2005 |
| Externally published | Yes |
| Event | International Conference on Computational Science and Its Applications - ICCSA 2005 - , Singapore Duration: 2005 May 9 → 2005 May 12 |
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science