A computational study of cross-situational techniques for learning word-to-meaning mappings

@article{Siskind1996ACS,
  title={A computational study of cross-situational techniques for learning word-to-meaning mappings},
  author={Jeffrey Mark Siskind},
  journal={Cognition},
  year={1996},
  volume={61},
  pages={39-91}
}
  • J. Siskind
  • Published 1 October 1996
  • Computer Science
  • Cognition
View on Elsevier
engineering.purdue.edu
550 Citations
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309
Methods Citations
77
Results Citations
11

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References

SHOWING 1-10 OF 74 REFERENCES

Lexical Acquisition as Constraint Satisfaction

A novel strategy is presented that is capable of learning the word-to-meaning mappings for as many as 10,000 words given corpora of 20,000 utterances and is accomplished in a language independent fashion without any reference to the syntax of the language being learned.

Acquiring Core Meanings of Words, Represented as Jackendoff-Style Conceptual Structures, from Correlated Streams of Linguistic and Non-Linguistic Input

The theory underlying the system, the representations and algorithms used in the implementation, the semantic constraints which support the heuristics necessary to achieve tractable learning, the limitations of the current theory and the implications of this work for language acquisition research are discussed.

The acquisition of lexical semantics for spatial terms: a connectionist model of perceptual categorization

This thesis describes a connectionist model which learns to perceive spatial events and relations in simple movies of 2-dimensional objects, so as to name the events and relations as a speaker of a…

Naive physics, event perception, lexical semantics, and language acquisition

Algorithms are presented which utilize a cross-situational learning strategy whereby the learner finds a language model which is consistent across several utterances paired with their non-linguistic context, and three claims about event perception and the process of grounding language in visual perception are advanced.

When it is better to receive than to give: Syntactic and conceptual constraints on vocabulary growth

Using sound to solve syntactic problems: the role of phonology in grammatical category assignments.

  • M. H. Kelly
  • Linguistics, Psychology
    Psychological review
  • 1992
One ubiquitous problem in language processing involves the assignment of words to the correct grammatical category, such as noun or verb. In general, semantic and syntactic cues have been cited as…

Do infants perceive word boundaries? An empirical study of the bootstrapping of lexical acquisition.

Three-day-old infants were tested with a non-nutritive sucking paradigm, and the results of two experiments suggest that infants can discriminate between items that contain a word boundary and items that do not, lending plausibility to the hypothesis that infants might use word boundary cues during lexical acquisition.

Learning Word Meanings From Examples

A computer program that uses syntactic constraints to derive the meanings of verbs from an analysis of simple English example stories is described, an extension of Winston's (Winston 1975) program that learned the structural descriptions of blocks world scenes.

Acquiring Lexical Knowledge from Text: A Case Study

This paper describes an approach to constructing new lexical entries in a gradual process by analyzing a sequence of example texts to permit the graceful tolerance of new words while enabling the automated extension of the lexicon.

Distributional regularity and phonotactic constraints are useful for segmentation

...