Paper: A Model Of Early Syntactic Development

ACL ID P82-1032
Title A Model Of Early Syntactic Development
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1982
  • Pat Langley (Carnegie Mellon University, Pittsburgh PA)

AMBER is a model of first language acquisition that improves its performance through a process of error recovery. The model is implemented as an adaptive production system that introduces new condition-action rules on the basis of experience. AMBER starts with the ability to say only one word at a time, but adds rules for ordering goals and producing grammatical morphemes, based on comparisons between predicted and observed sentences. The morpheme rules may be overly general and lead to errors of commission; such errors evoke a discrimination process, producing more conservative rules with additional conditions. The system's performance improves gradually, since rules must be relearned many times before they are used. AMBER'S learning mechanisms account for some of the major developments o...