Expectation-based comprehension: Modeling the interaction of world knowledge and linguistic experience
The processing difficulty of each word we encounter in a sentence is affected by both our
prior linguistic experience and our general knowledge about the world. Computational …
prior linguistic experience and our general knowledge about the world. Computational …
Multiple predictions during language comprehension: Friends, foes, or indifferent companions?
To comprehend language, we continually use prior context to pre-activate expected
upcoming information, resulting in facilitated processing of incoming words that confirm …
upcoming information, resulting in facilitated processing of incoming words that confirm …
Retrieval (N400) and integration (P600) in expectation-based comprehension
Expectation-based theories of language processing, such as Surprisal theory, are supported
by evidence of anticipation effects in both behavioural and neurophysiological measures …
by evidence of anticipation effects in both behavioural and neurophysiological measures …
[PDF][PDF] Integrating surprisal and uncertain-input models in online sentence comprehension: formal techniques and empirical results
R Levy - Proceedings of the 49th annual meeting of the …, 2011 - aclanthology.org
A system making optimal use of available information in incremental language
comprehension might be expected to use linguistic knowledge together with current input to …
comprehension might be expected to use linguistic knowledge together with current input to …
Prediction during language comprehension: what is next?
R Ryskin, MS Nieuwland - Trends in Cognitive Sciences, 2023 - cell.com
Prediction is often regarded as an integral aspect of incremental language comprehension,
but little is known about the cognitive architectures and mechanisms that support it. We …
but little is known about the cognitive architectures and mechanisms that support it. We …
[PDF][PDF] Surprisal-based comparison between a symbolic and a connectionist model of sentence processing
S Frank - Proceedings of the annual meeting of the Cognitive …, 2009 - escholarship.org
The 'unlexicalized surprisal'of a word in sentence context is defined as the negative
logarithm of the probability of the word's part-of-speech given the sequence of previous …
logarithm of the probability of the word's part-of-speech given the sequence of previous …
[PDF][PDF] Predictive power of word surprisal for reading times is a linear function of language model quality
A Goodkind, K Bicknell - Proceedings of the 8th workshop on …, 2018 - aclanthology.org
Within human sentence processing, it is known that there are large effects of a word's
probability in context on how long it takes to read it. This relationship has been quantified …
probability in context on how long it takes to read it. This relationship has been quantified …
Noisy-context surprisal as a human sentence processing cost model
We use the noisy-channel theory of human sentence comprehension to develop an
incremental processing cost model that unifies and extends key features of expectation …
incremental processing cost model that unifies and extends key features of expectation …
Prediction during sentence comprehension is more than a sum of lexical associations: the role of event knowledge
Psycholinguistic research, like much of cognitive science, is in the midst of a vigorous inquiry
into the role of predictive mechanisms (DeLong, Urbach, & Kutas, 2005; Dikker, Rabagliati …
into the role of predictive mechanisms (DeLong, Urbach, & Kutas, 2005; Dikker, Rabagliati …
Semantic entropy in language comprehension
Language is processed on a more or less word-by-word basis, and the processing difficulty
induced by each word is affected by our prior linguistic experience as well as our general …
induced by each word is affected by our prior linguistic experience as well as our general …