Learning and Playing in Wubble World

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

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