Corpus ID: 12067619

Vocabulary development in English and Chinese: A comparative study with self-organizing neural networks

  title={Vocabulary development in English and Chinese: A comparative study with self-organizing neural networks},
  author={Xiaowei Zhao and P. Li},
  • Xiaowei Zhao, P. Li
  • Published 2008
  • Computer Science
  • In this paper we present a self-organizing neural network model to simulate the early vocabulary development in English and Chinese. We focus on how the different lexical composition patterns in the two languages can emerge, develop and change when the learner acquires an increasing number of words. Our results suggest that certain lexical characteristics in the linguistic input (e.g., word frequency and length) play significant roles in the presence or absence of given patterns. Our study… CONTINUE READING
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