1. Lexical acquisition and developing semantic map
- Creator:
- Farkaš, Igor
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- language acquisition, lexical semantics, growing neural network, and self-organizing map
- Language:
- English
- Description:
- In this paper, we describe a self-organizing neural network model that addresses the process of early lexical acquisition in young children. The growing lexicon is modeled by combined semantic word representations based on distributional statistics of words and on grounded semantic features of words. Changing semantic word representations are assumed to model the maturation of word meaning and serve as inputs to the growing semantic map. The model has been tested on a real child-directed parental language corpus and as a result, the map demonstrates the emergence and reorganization of various word categories, as quantified by two measures.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public