<p>Illustration of the log-linear relationship between reading times and linguistic probabilities, following Smith and Levy (2013). We indicate the changes in probabilities (horizontal lines) for relative clauses (RCs; blue) and main verbs (MVs; red) for Experiment 1 and indicate the predicted changes in reading times for both (vertical lines).</p
<p>Strength and reliability of the correlations between text redundancies and reading times for word...
The 'unlexicalized surprisal' of a word in sentence context is defined as the negative logarithm of ...
<p>Sentence reading time (log-transformed on the y-axis) in function of average word length per sent...
How well can we predict reading times and thus cognitive processing load? This study first assesses ...
Probabilistic accounts of language process-ing can be psychologically tested by com-paring word-read...
<p>Sentence reading time (log-transformed on the y-axis) in function of number of words (on the x-ax...
<p>The left column presents the time series of mean reading times (standardized by the number of wor...
<p>Sentence reading time (log transformed on the y-axis) in function of average content word frequen...
Theories of entrenchment and usage-based models have revolutionized cognitive linguistics and are al...
AbstractWe report the results of an investigation into the ability of transitional probability (word...
Narayanan and Jurafsky (1998) proposed that human language compre-hension can be modeled by treating...
The effect of word frequency on eye movement behaviour during reading has been reported in many expe...
The most important predictors of fixation durations in reading are a word’s frequency of occurrence ...
In (Ward and Vega 2008) we examined how how word probabilities vary with time into utterance, and pr...
<p>Experiment 3: The raw reading times at the five regions of interest in the relative clause types,...
<p>Strength and reliability of the correlations between text redundancies and reading times for word...
The 'unlexicalized surprisal' of a word in sentence context is defined as the negative logarithm of ...
<p>Sentence reading time (log-transformed on the y-axis) in function of average word length per sent...
How well can we predict reading times and thus cognitive processing load? This study first assesses ...
Probabilistic accounts of language process-ing can be psychologically tested by com-paring word-read...
<p>Sentence reading time (log-transformed on the y-axis) in function of number of words (on the x-ax...
<p>The left column presents the time series of mean reading times (standardized by the number of wor...
<p>Sentence reading time (log transformed on the y-axis) in function of average content word frequen...
Theories of entrenchment and usage-based models have revolutionized cognitive linguistics and are al...
AbstractWe report the results of an investigation into the ability of transitional probability (word...
Narayanan and Jurafsky (1998) proposed that human language compre-hension can be modeled by treating...
The effect of word frequency on eye movement behaviour during reading has been reported in many expe...
The most important predictors of fixation durations in reading are a word’s frequency of occurrence ...
In (Ward and Vega 2008) we examined how how word probabilities vary with time into utterance, and pr...
<p>Experiment 3: The raw reading times at the five regions of interest in the relative clause types,...
<p>Strength and reliability of the correlations between text redundancies and reading times for word...
The 'unlexicalized surprisal' of a word in sentence context is defined as the negative logarithm of ...
<p>Sentence reading time (log-transformed on the y-axis) in function of average word length per sent...