Wesley Kerr, Paul Cohen, Yu-Han Chang
Children do not learn the meanings of words from parsing and understanding gigabytes of text; instead meanings are learned from competent speakers who relate language to what's happening in the child's environment. We present a word learning algorithm that operates in a video game environment where the players fill the role of the competent speakers and train softbots to learn language as a child would. We provide empirical evidence that the word learning algorithm successfully learns the meanings for some words in this environment and the children enjoy playing the game.
Subjects: 12. Machine Learning and Discovery; 13. Natural Language Processing
Submitted: Aug 12, 2008