@inproceedings{b625f7fc046e4f25bce529b86851864b,
title = "DevLex: A self-organizing neural network model of the development of lexicon",
abstract = "In this paper we present the DevLex model of language acquisition. DevLex consists of two self-organizing maps (a growing semantic map and a phonological map) that are connected via associative links. It simulates the early stages of lexical development in children, in particular, word confusion as evidenced in naming errors. The simulation results indicate that the rate of word confusion is modulated by developmental profile of vocabulary increase, word density of competing neighbors, and rate of lexical growth. These results match up with hypotheses from empirical research on lexical development.",
author = "I. Farka{\v s} and P. Li",
note = "Funding Information: This research is supported by NSF (grant #BCS-9975249 to P.L.). I.F. is also with the Slovak Academy of Sciences, Bratislava, Slovakia. Publisher Copyright: {\textcopyright} 2002 Nanyang Technological University.; 9th International Conference on Neural Information Processing, ICONIP 2002 ; Conference date: 18-11-2002 Through 22-11-2002",
year = "2002",
doi = "10.1109/ICONIP.2002.1201954",
language = "English (US)",
series = "ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2546--2551",
editor = "Xin Yao and Kunihiko Fukushima and Soo-Young Lee and Lipo Wang and Rajapakse, {Jagath C.}",
booktitle = "ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing",
address = "United States",
}