Incrementality and Prediction in Human Sentence Processing

By Gerry T. M. Altmann, Jelena Mirkovic. Cognitive Sciences, 2009

374 citations recorded by the source corpus.

We identify a number of principles with respect to prediction that, we argue, underpin adult language comprehension: (a) comprehension consists in realizing a mapping between the unfolding sentence and the event representation corresponding to the real-world event being described; (b) the realization of this mapping manifests as the ability to predict both how the language will unfold, and how the real-world event would unfold if it were being experienced directly; (c) concurrent linguistic and nonlinguistic inputs, and the prior internal states of the system, each drive the predictive process; (d) the representation of prior internal states across a representational substrate common to the linguistic and nonlinguistic domains enables the predictive process to operate over variable time frames and variable levels of representational abstraction. We review empirical data exemplifying the operation of these principles and discuss the relationship between prediction, event structure, thematic role assignment, and incrementality.

Subfields: Artificial Intelligence, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/1f6d93c55b83deb3b682bd2a19ad5597b575e346

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Morten H. Christiansen
  2. N. Chater
  3. David E. Over
  4. José Hernandez-Orallo
  5. Mike Oaksford

In Cognitive Neuroscience

  1. N. Chater
  2. Morten H. Christiansen
  3. Falk Huettig
  4. Ramesh Kumar Mishra
  5. Niharika Singh
  6. José Hernandez-Orallo
  7. Ellen Bialystok

Citations in the corpus