Naive Physics, Event Perception, Lexical Semantics, and Language Acquisition

Abstract

This thesis proposes a computational model of how children may come to learn the meanings of words in their native language. The proposed model is divided into two separate components. One component produces semantic descriptions of visually observed events while the other correlates those descriptions with co-occurring descriptions of those events in natural language. The first part of this thesis describes three implementations of the correlation process whereby representations of the meanings of whole utterances can be decomposed into fragments assigned as representations of the meanings of individual words. The second part of this thesis describes an implemented computer program that recognizes the occurrence of simple spatial motion events in simulated video input.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1993
Accession Number
ADA276799

Entities

People

  • Jeffrey Mark Siskind

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Artificial Intelligence
  • Cognitive Science
  • Computational Science
  • Computer Programs
  • Computer Science
  • Computer Vision
  • Computers
  • Context Free Grammars
  • Electrical Engineering
  • Grammars
  • Language
  • Mechanical Engineering
  • Ontologies
  • Psychology
  • Two Dimensional

Readers

  • Computer Science.
  • Neural Network Machine Learning.
  • Speech Processing/Speech Recognition.