Neuro-cognitive computational model of automatic lexical acquisition

Kinam Park, Heui Seok Lim, Soon Young Jung, Wonhee Yu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study is intended to design and implement an automatic lexical acquisition model based on cognitive neuroscience referring to the theory that mental lexicon structure is represented with full-listing and morphemic and that lexical forms accessed to mental lexicon upon word cognition takes a hybrid type. As the result of the study, we could simulate the lexical acquisition process of linguistic input through experiments and studying, and suggest a theoretical foundation for the order of acquitting certain grammatical categories. Also, the model of this study has shown proofs with which we can infer the type of the mental lexicon of the human cerebrum through full-list dictionary and decomposition dictionary which were automatically produced in the study.

Original languageEnglish
Title of host publicationProceedings of the 2008 2nd International Conference on Future Generation Communication and Networking, FGCN 2008
Pages1-7
Number of pages7
Volume4
DOIs
Publication statusPublished - 2008 Dec 1
Event2008 2nd International Conference on Future Generation Communication and Networking Symposia, FGCN 2008 - Hainan, China
Duration: 2008 Dec 132008 Dec 15

Other

Other2008 2nd International Conference on Future Generation Communication and Networking Symposia, FGCN 2008
CountryChina
CityHainan
Period08/12/1308/12/15

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ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Electrical and Electronic Engineering

Cite this

Park, K., Lim, H. S., Jung, S. Y., & Yu, W. (2008). Neuro-cognitive computational model of automatic lexical acquisition. In Proceedings of the 2008 2nd International Conference on Future Generation Communication and Networking, FGCN 2008 (Vol. 4, pp. 1-7). [4813596] https://doi.org/10.1109/FGCNS.2008.123