Toward a psycholinguistically-motivated model of language processing

William Schuier, Samir Abdel Rahman, Tim Miller, Lane Schwartz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Psycholinguistic studies suggest a model of human language processing that 1) performs incremental interpretation of spoken utterances or written text, 2) preserves ambiguity by maintaining competing analyses in parallel, and 3) operates within a severely constrained short-term memory store - possibly constrained to as few as four distinct elements. This paper describes a relatively simple model of language as a factored statistical time-series process that meets all three of the above desiderata; and presents corpus evidence that this model is sufficient to parse naturally occurring sentences using human-like bounds on memory.

Original languageEnglish (US)
Title of host publicationInternational Conference on Computational Linguistics
Pages785-792
Number of pages8
StatePublished - Aug 2008
Externally publishedYes
Event22nd International Conference on Computational Linguistics, Coling 2008 - Manchester, United Kingdom
Duration: Aug 18 2008Aug 22 2008

Publication series

NameColing 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference
Volume1

Other

Other22nd International Conference on Computational Linguistics, Coling 2008
CountryUnited Kingdom
CityManchester
Period8/18/088/22/08

ASJC Scopus subject areas

  • Language and Linguistics
  • Computational Theory and Mathematics
  • Linguistics and Language

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