Cloze probability does not only affect N400 amplitude: The case of complex prepositions [PDF]
AbstractCloze‐probability levels are inversely correlated with N400 amplitude, indicating an easier integration for expected words in semantic‐pragmatic contexts. Here we exploited the prespecified standard order of complex prepositions and measured the ERPs time‐locked to the last preposition in sentences in which complex prepositions were presented ...
N. Molinaro +4 more
openaire +6 more sources
Beyond cloze probability: Parafoveal processing of semantic and syntactic information during reading [PDF]
Abstract Theories of eye movement control in reading assume that early oculomotor decisions are determined by a word’s frequency and cloze probability. This assumption is challenged by evidence that readers are sensitive to the contextual plausibility of an upcoming word: First-pass fixation probability and duration are reduced when the parafoveal ...
Aaron Veldre, Sally Andrews
openaire +5 more sources
Cloze probability and completion norms for 498 sentences: Behavioral and neural validation using event-related potentials [PDF]
Three decades after their publication, Bloom and Fischler's (1980) sentence completion norms continue to demonstrate widespread utility. The aim of the present study was to extend this contribution by expanding the existing database of high-constraint, high cloze probability sentences.
Cady K, Block, Carryl L, Baldwin
openaire +4 more sources
To investigate the timing relationship between lexical access and later processes, the present study compared event-related potentials (ERPs) in response to spoken Dutch sentences that were either correct or contained gender agreement violations on the article or adjective preceding the noun.
Loerts, Hanneke +2 more
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Overlapping dual ERP responses to low cloze probability sentence continuations. [PDF]
AbstractIn 2005, DeLong, Urbach, and Kutas took advantage of the a/an English indefinite article phonological alternation and the sensitivities of the N400 ERP component to show that readers can neurally preactivate individual words of a sentence (including nouns and their prenominal indefinite articles) in a graded fashion with a likelihood estimated ...
DeLong KA +3 more
europepmc +4 more sources
Filling the gap: Cloze probability and sentence constraint norms for 807 European Portuguese sentences. [PDF]
AbstractSentence processing is affected by the sentence context and word expectancy. To investigate sentence comprehension experimentally, it is useful to have sentence completion norms with both context constraint and word expectancy measures. In this study, two experiments were conducted to collect norms for completion of 807 European Portuguese ...
Frade S, Santi A, Raposo A.
europepmc +5 more sources
Cloze probability, predictability ratings, and computational estimates for 205 English sentences, aligned with existing EEG and reading time data. [PDF]
AbstractWe release a database of cloze probability values, predictability ratings, and computational estimates for a sample of 205 English sentences (1726 words), aligned with previously released word-by-word reading time data (both self-paced reading and eye-movement records; Frank et al., Behavior Research Methods, 45(4), 1182–1190.
de Varda AG, Marelli M, Amenta S.
europepmc +3 more sources
During reading or listening, people can generate predictions about the lexical and morphosyntactic properties of upcoming input based on available context. Psycholinguistic experiments that study predictability or control for it conventionally rely on a human-based approach and estimate predictability via the cloze task.
Anastasiya Lopukhina +2 more
openaire +4 more sources
N-gram probability effects in a cloze task [PDF]
What knowledge influences our choice of words when we write or speak? Predicting which word a person will produce next is not easy, even when the linguistic context is known. One task that has been used to assess context dependent word choice is the fill-in-the-blank task, also called the cloze task.
Cyrus Shaoul +2 more
openaire +1 more source
Language Models Explain Word Reading Times Better Than Empirical Predictability
Though there is a strong consensus that word length and frequency are the most important single-word features determining visual-orthographic access to the mental lexicon, there is less agreement as how to best capture syntactic and semantic factors. The
Markus J. Hofmann +4 more
doaj +1 more source

