23 papers · ranked by Valyu relevance
Ya-Ning Chang, Stephen Welbourne, Steve Furber, Matthew Lambon Ralph
Computational modelling has served as a powerful tool to advance our understanding of language processes by making theoretical ideas rigorously specified and testable (a form of “ open science” for theory building). In reading research, one of the most influential computational modelling frameworks is the triangle…
Charles Hulme, Margaret J. Snowling
We review current knowledge about reading development and the origins of difficulties in learning to read. We distinguish between the processes involved in learning to decode print, and the processes involved in reading for meaning (reading comprehension). At a cognitive level, difficulties in learning to read appear…
Roslyn Wong, Erik D. Reichle, Aaron Veldre
Historically, prediction during reading has been considered an inefficient and cognitively expensive processing mechanism given the inherently generative nature of language, which allows upcoming text to unfold in an infinite number of possible ways. This article provides an accessible and comprehensive review of the…
Francesco Donnarumma, Mirco Frosolone, Giovanni Pezzulo
We present a novel computational model employing hierarchical active inference to simulate reading and eye movements. The model characterizes linguistic processing as inference over a hierarchical generative model, facilitating predictions and inferences at various levels of granularity, from syllables to sentences.…
Peter Hendrix, Michael Ramscar, Harald Baayen, Claudio Mulatti
We present the Naive Discriminative Reading Aloud (ndra) model. The ndra differs from existing models of response times in the reading aloud task in two ways. First, a single lexical architecture is responsible for both word and non-word naming. As such, the model differs from dual-route models, which consist of both a…
Jakub Dotlačil, Puck de Haan
This paper explores how the rational theory of memory summarized in Anderson ([3]) can inform the computational psycholinguistic models of human parsing. It is shown that transition-based parsing is particularly suitable to be combined with Anderson's theory of memory systems. The combination of the rational theory of…
Adrielli Lopes Rego, Joshua Snell, Martijn Meeter
Although word predictability is commonly considered an important factor in reading, sophisticated accounts of predictability in theories of reading are yet lacking. Computational models of reading traditionally use cloze norming as a proxy of word predictability, but what cloze norms precisely capture remains unclear.…
Authors not listed
Using temporarily ambiguous garden-path sentences (While the team trained the striker wondered . . .) as a test case, we present a latent-process mixture model of human reading behavior across four different reading paradigms (eye tracking, uni- and bidirectional self-paced reading, Maze). The model distinguishes…
Martijn Meeter, Yousri Marzouki, Arthur E. Avramiea, Joshua Snell + 1 more
'Jonathan Grainger'] Title: Abstract When reading, orthographic information is extracted not only from the word the reader is looking at, but also from adjacent words in the parafovea. Here we examined, using the recently introduced OB1-reader computational model, how orthographic information can be processed in…
Hui Liu, Yufang Bian
Reading subskills are generally regarded as continuous variables, while most models used in the previous reading diagnoses have the hypothesis that the latent variables are dichotomous. Considering that the multidimensional item response theory (MIRT) model has continuous latent variables and can be used for diagnostic…
Pierluigi Zoccolotti, Maria De Luca, Chiara Valeria Marinelli, Paul E. Engelhardt
Recent evidence underlines the importance of seeing learning disorders in terms of their partial association (comorbidity). The present concept paper presents a model of reading that aims to account for performance on a naturalistic reading task within a comorbidity perspective. The model capitalizes on the distinction…
Joseph Hin Yan Lam, Jiali Wang, Amy S. Pratt, Elizabeth D. Peña
1.1.### Theories of reading comprehension Reading comprehension is a complex and multidimensional construct. There has been a preference towards parsimonious models of reading such as The Simple View of Reading (SVR; ; ) which describes variability in reading comprehension across two component skills: decoding (or the…
Hao Wang, Qingxuan Wang, Yue Li, Changqing Wang + 2 more
'Rui Wang'] The use of visually-rich documents (VRDs) in various fields has created a demand for Document AI models that can read and comprehend documents like humans, which requires the overcoming of technical, linguistic, and cognitive barriers. Unfortunately, the lack of appropriate datasets has significantly…
Shuwen Deng, Cui Ding, David R. Reich, Paul Prasse + 1 more
The way our eyes move while reading provides valuable insights into both the reader's cognitive processes and the properties of the text. In particular, eye-tracking-while-reading data has shown to be highly beneficial in various technological applications, such as enhancing and interpreting language models and…
V. Borghesani, L.B. Hinkley, K. G. Ranasinghe, M. M. C. Thompson + 11 more
Reading aloud requires mapping an orthographic form to a phonological one. The mapping process relies on sub-lexical statistical regularities (e.g., “oo” to |u:|) or on learned lexical associations between a specific visual form and a series of sounds (e.g., yacht to /jɑt/). Computational, neuroimaging, and…
Janos Pauli, Benjamin Gagl
Script is a key technology for humans, as mastering reading is essential for successful social participation. Hence, understanding the neuro-cognitive mechanisms underpinning the processes of learning to read is highly relevant. Here, we use two orthographic learning datasets from baboons and humans to investigate how…
K Klein, Sergey Frenkel, Omer Shubi, Yevgeni Berzak
Readability Measures Authors: ['K Klein' 'Sergey Frenkel' 'Omer Shubi' 'Yevgeni Berzak'] Text readability measures are widely used in many real-world scenarios and in NLP. These measures have primarily been developed by predicting reading comprehension outcomes, while largely neglecting what is perhaps the core aspect…
Yoav Meiri, Omer Shubi, Cfir Avraham Hadar, Ariel Kreisberg Nitzav + 1 more
'Yevgeni Berzak'] Be it your favorite novel, a newswire article, a cooking recipe or an academic paper – in many daily situations we read the same text more than once. In this work, we ask whether it is possible to automatically determine whether the reader has previously encountered a text based on their eye movement…
O Ozernov-Palchik, TM Centanni, SD Beach, S May + 2 more
Reading comprehension is a complex task that depends on multiple cognitive and linguistic processes. According to the updated Simple View of Reading framework, in adults, individual variation in reading comprehension can be largely explained by combined variance in three component abilities: (1) decoding accuracy, (2)…
Helle W. van den Maagdenberg, Martin Šícho, David Alencar Araripe, Sohvi Luukkonen + 9 more
Building reliable and robust quantitative structure-property relationship (QSPR) models is a challenging task. First, the experimental data needs to be obtained, analyzed and curated. Second, the number of available methods is continuously growing and evaluating different algorithms and methodologies can be arduous.…
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, Kathrin Michel + 4 more
Predicting and monitoring battery life early and across chemistries is a significant challenge due to the plethora of degradation paths, form factors, and electrochemical testing protocols. Existing models typically translate poorly across different electrode, electrolyte, and additive materials, mostly require a fixed…
Authors not listed
Bioprocess engineering has incorporated effective AI applications in recent years that consist of traditional approaches to training models on relevant data to then analyze and predict new and unseen data. The missing component has been the ability to process mixed data from an assortment of dissimilar information…
Etinosa Osaro, Fernando Fajardo-Rojas, Gregory Cooper, Diego Gómez-Gualdrón + 1 more
Adsorption is a fundamental process studied in materials science and engineering because it plays a critical role in various applications, including gas storage and separation. Understanding and predicting gas adsorption within porous materials demands comprehensive computational simulations that are often resource…