We evaluate the predictions of surprisal and cue-based theory of sentence processing using an eye-tracking corpus, the Potsdam Sentence Corpus. Surprisal is a measure of processing complexity based on a prob-abilistic grammar and is computed in terms of the total probability of structural options that have been disconfirmed at each input word. The cue-based theory characterizes processing difficulty in terms of working memory costs that derive from decay and interference arising during content-based retrieval requests of pre-viously processed material (e.g., to incrementally build the sentence structure). We show that both surprisal and cue-based parsing independently explain difficulty in sentences processing and interestingly, they have a...
A sentence processing model is presented, based on abductive and deduc-tive inference. We show that ...
We present a detailed process theory of the moment‐by‐moment working‐memory retrievals and associate...
We tested the predictions of Dependency Locality Theory (DLT), a theory of linguistic processing com...
We evaluate the predictions of surprisal and cue-based theory of sentence processing using an eye-tr...
The surprisal of a word on a probabilistic grammar constitutes a promising complexity metric for hum...
The aim of this thesis is to design and implement a cognitively plausible theory of sentence process...
This paper introduces a psycholinguistic model of sentence processing which combines a Hidden Markov...
Copyright © 2020 The Authors. Cognitive Science published by Wiley Periodicals, Inc. on behalf of Co...
The 'unlexicalized surprisal' of a word in sentence context is defined as the negative logarithm of ...
This paper investigates the role of resource allocation as a source of processing difficulty in huma...
corpus. We derive greater surprisals (Hale, 2001) for the unergative than the unaccusative case, whi...
The role of interference effects in sentence processing has recently begun to receive attention, how...
We present a detailed process theory of the moment-by-moment working-memory retrievals and as-sociat...
We explore the interaction between oculomotor control and language comprehension on the sen-tence le...
We outline four ways in which uncertainty might affect comprehension difficulty in human sentence pr...
A sentence processing model is presented, based on abductive and deduc-tive inference. We show that ...
We present a detailed process theory of the moment‐by‐moment working‐memory retrievals and associate...
We tested the predictions of Dependency Locality Theory (DLT), a theory of linguistic processing com...
We evaluate the predictions of surprisal and cue-based theory of sentence processing using an eye-tr...
The surprisal of a word on a probabilistic grammar constitutes a promising complexity metric for hum...
The aim of this thesis is to design and implement a cognitively plausible theory of sentence process...
This paper introduces a psycholinguistic model of sentence processing which combines a Hidden Markov...
Copyright © 2020 The Authors. Cognitive Science published by Wiley Periodicals, Inc. on behalf of Co...
The 'unlexicalized surprisal' of a word in sentence context is defined as the negative logarithm of ...
This paper investigates the role of resource allocation as a source of processing difficulty in huma...
corpus. We derive greater surprisals (Hale, 2001) for the unergative than the unaccusative case, whi...
The role of interference effects in sentence processing has recently begun to receive attention, how...
We present a detailed process theory of the moment-by-moment working-memory retrievals and as-sociat...
We explore the interaction between oculomotor control and language comprehension on the sen-tence le...
We outline four ways in which uncertainty might affect comprehension difficulty in human sentence pr...
A sentence processing model is presented, based on abductive and deduc-tive inference. We show that ...
We present a detailed process theory of the moment‐by‐moment working‐memory retrievals and associate...
We tested the predictions of Dependency Locality Theory (DLT), a theory of linguistic processing com...