Natural Reading Research Articles

The Possible Asylum

Last year, Jeremy Avigad and coauthors published a paper in this journal entitled “The Impossible Asylum” showing, using automated reasoning tools, that the last puzzle of Raymond Smullyan’s article “The Asylum of Doctor Tarr and Professor Fether” is inconsistent. We here argue to the contrary: the puzzle is consistent after all. Our solution was also found using automated reasoning and is small enough to be presented here. In fact, the smallest asylum satisfying the original puzzle is only inhabited by four persons. So how can we explain this discrepancy, where on the one hand we have a formal proof of inconsistency and other hand a satisfying assignment? Well, this is due to an ambiguity in the natural language statement of the original puzzle. We will argue that with a more natural reading of the original puzzle, its logical representation changes ever-so-slightly and becomes consistent.

Eye Movement Patterns in Russian-Speaking Adolescents with Differing Reading Comprehension Proficiency: Exploratory Scanpath Analysis

Previous research has indicated that individuals with varying levels of reading comprehension (often used as a proxy for general cognitive ability) employ distinct reading eye movement patterns. This exploratory eye-tracking study aimed to investigate the text-reading process in adolescents with differing reading comprehension, specifically examining how these differences manifest at the global eye movement level through scanpath analysis. Our findings revealed two distinct groups of scanpaths characterized by statistically significant differences in eye movement parameters. These groups were identified as “fast readers” and “slow readers”. Both groups exhibited similar oculomotor performance during the initial reading. However, significant differences emerged when they reread and revisited the text. Notably, these findings align with prior research conducted with different samples and languages, although discrepancies emerged in saccade amplitude and first-pass reading behavior. This study contributes to the understanding of how reading comprehension levels are reflected in global eye movement strategies among adolescents. However, limitations inherent in the experimental design, particularly the potential influence of the task on reading patterns, warrant further investigation. Future research should aim to explore these phenomena in more naturalistic reading settings, employing a design specifically tailored to capture the nuances of spontaneous reading behavior.

Word length and frequency effects in natural Chinese reading: Evidence for character representations in lexical identification.

Word length and frequency are two of the "big three" factors that affect eye movements in natural reading. Although these factors have been extensively investigated, all previous studies manipulating word length have been confounded with changes in visual complexity (longer words have more letters and are more visually complex). We controlled stroke complexity across one-character (short) and two-character (long) high- and low-frequency Chinese words (to avoid complexity confounds) and recorded readers' eye movements during sentence reading. Both word length and frequency yielded strong main effects for fixation time measures. For saccadic targeting and skipping probability, word length effects, but not word frequency effects, occurred. Critically, the interaction was not significant regardless of stroke complexity, indicating that word length and frequency independently influence lexical identification and saccade target selection during Chinese reading. The results provide evidence for character-level representations during Chinese word recognition in natural reading.

Estimating the rate of failure to notice functionword errors in natural reading.

Skilled readers sometimes fail to notice seemingly obvious errors in text, such as the repetition or omission of a function word or the transposition of two words, suggesting that linguistic knowledge can override bottom-up input at either a perceptual or postperceptual level. The present study investigates the role of this top-down process of error correction in natural reading of extended texts. In previous research, critical sentences have been presented one at a time, and subjects were explicitly tasked with detecting errors. In the present study, each participant read a full newspaper article or pair of articles, with their comprehension tested by multiple choice questions. As a secondary task, participants were also instructed that they should make a mouse click on any errors in the text, without any instruction as to the frequency or nature of any such errors. Each article contained nine intentionally inserted errors involving function words: three repetitions, three omissions, and three transpositions. After removing subjects who did not click on the text at all (leaving n = 165), the median subject made seven clicks, but detected only one of the nine inserted errors. Neither error type nor article type (highly professional vs. amateur) clearly modulated the rate of error detection, though subjects clicked more often overall on the amateur articles. We conclude that previous research has dramatically underestimated the rate at which readers fail to notice these function word errors; in natural reading, they are noticed only rarely. No existing reading model can account for this phenomenon.

Neural correlates for word-frequency effect in Chinese natural reading.

Word frequency effect has always been of interest for reading research because of its critical role in exploring mental processing underlying reading behaviors. Access to word frequency information has long been considered an indicator of the beginning of lexical processing and the most sensitive marker for studying when the brain begins to extract semantic information Sereno & Rayner, Brain and Cognition, 42, 78-81, (2000), Trends in Cognitive Sciences, 7, 489-493, (2003). While the word frequency effect has been extensively studied in numerous eye-tracking and traditional EEG research using the RSVP paradigm, there is a lack of corresponding evidence in studies of natural reading. To find the neural correlates of the word frequency effect, we conducted a study of Chinese natural reading using EEG and eye-tracking coregistration to examine the time course of lexical processing. Our results reliably showed that the word frequency effect first appeared in the N200 time window and the bilateral occipitotemporal regions. Additionally, the word frequency effect was reflected in the N400 time window, spreading from the occipital region to the central parietal and frontal regions. Our current study provides the first neural correlates for word-frequency effect in natural Chinese reading so far, shedding new light on understanding lexical processing in natural reading and could serve as an important basis for further reading study when considering neural correlates in a realistic manner.

Early parafoveal semantic integration in natural reading.

Humans can read and comprehend text rapidly, implying that readers might process multiple words per fixation. However, the extent to which parafoveal words are previewed and integrated into the evolving sentence context remains disputed. We investigated parafoveal processing during natural reading by recording brain activity and eye movements using MEG and an eye tracker while participants silently read one-line sentences. The sentences contained an unpredictable target word that was either congruent or incongruent with the sentence context. To measure parafoveal processing, we flickered the target words at 60 Hz and measured the resulting brain responses (i.e. Rapid Invisible Frequency Tagging, RIFT) during fixations on the pre-target words. Our results revealed a significantly weaker tagging response for target words that were incongruent with the previous context compared to congruent ones, even within 100ms of fixating the word immediately preceding the target. This reduction in the RIFT response was also found to be predictive of individual reading speed. We conclude that semantic information is not only extracted from the parafovea but can also be integrated with the previous context before the word is fixated. This early and extensive parafoveal processing supports the rapid word processing required for natural reading. Our study suggests that theoretical frameworks of natural reading should incorporate the concept of deep parafoveal processing.

Early parafoveal semantic integration in natural reading

Early parafoveal semantic integration in natural reading

A Study of the Effects of Narrow Reading on Incidental English Vocabulary Acquisition

The study investigates incidental vocabulary acquisition during English natural reading through empirical research. First-year English major students from a university were selected as participants. They were tasked with reading simplified adaptations of Jane Austen's classic novels after class, divided into Groups A and B (Group A engaged in narrow reading, while Group B engaged in extensive reading). Both groups underwent vocabulary tests before and after the experiment. Through data analysis, this study reveals the impact of narrow reading and extensive reading on vocabulary acquisition when reading English simplified novels, as well as whether there are differences between extensive reading and narrow reading during the reading process. The conclusions of this research have implications for developing effective strategies for extracurricular English reading and fostering complete vocabulary acquisition among students.

The role of intrinsic reward in adolescent word learning.

Relatively little work has focused on why we are motivated to learn words. In adults, recent experiments have shown that intrinsic reward signals accompany successful word learning from context. In addition, the experience of reward facilitated long-term memory for words. In adolescence, developmental changes are seen in reward and motivation systems as well as in reading and language systems. Here, in the face of this developmental change, we ask whether adolescents experience reward from word learning, and how the reward and memory benefit seen in adults is modulated by age. We used a naturalistic reading paradigm, which involved extracting novel word meanings from sentence context without the need for explicit feedback. By exploring ratings of enjoyment during the learning phase, as well as recognition memory for words a day later, we assessed whether adolescents show the same reward and learning patterns as adults. We tested 345 children between the ages of 10-18 (N>84 in each 2-year age-band) using this paradigm. We found evidence for our first prediction: children aged 10-18 report greater enjoyment for successful word learning. However, we did not find evidence for age-related change in this developmental period, or memory benefits. This work gives us greater insight into the process of language acquisition and sets the stage for further investigations of intrinsic reward in typical and atypical development. RESEARCH HIGHLIGHTS: We constantly learn words from context, even in the absence of explicit rewards or feedback. In adults, intrinsic reward experienced during word learning is linked to a dopaminergic circuit in the brain, which also fuels enhancements in memory for words. We find adolescents also report enhanced reward or enjoyment when they successfully learn words from sentence context. The relationship between reward and learning is maintained between the ages of 10 and 18. Unlike in adults, we did not observe ensuing memory benefits.

Emotional context and predictability in naturalistic reading aloud.

[Correction Notice: An Erratum for this article was reported in Vol 24(3) of Emotion (see record 2024-72515-001). In the article (https://doi.org/10.1037/emo0001298), Table 1 as originally reported contained an error with respect to participant demographics. Specifically, participants who had selected multiple categories for race/ethnicity were mistakenly assigned to only the first alphabetical category selected. Updates have been made in the Race/ethnicity section of Table 1, to change the heading "American Indian or Alaska Native" to "Multiple selected," and to the relevant statistics under that heading as well as under the "Hispanic, Latino/a/x, or Spanish origin" and "Asian" headings. No inferential statistics are impacted by this correction, nor does it affect the results or conclusions of the article. All versions of this article have been corrected.] A robust experimental literature has found that word frequency and lexical valence contribute to visual word processing at the level of the individual word. Extensions of this literature to simplified sentences have essentially corroborated single-word findings, albeit with important influences of the unfolding discourse context, which may strengthen or attenuate single-word effects. This study sought to extend current knowledge one step further, beyond stand-alone sentences or sentence pairs, by investigating how word frequency and lexical valence, along with their interactions, influence oral reading performance for multisentence stimuli in a naturalistic context. Lexical features were averaged over short passages of text, which were presented to participants on-screen simultaneously, and performance was assessed as reading speed, in words per second. Overall, we find that the same patterns emerge for multisentence oral reading as in the prior literature: strong frequency effects that benefit higher-frequency content, a positivity bias that increases reading speed for more positive content, and an important interaction that disfavors relatively more negative (less positive), high-frequency content. We discuss these findings in light of possible interpretations based on associative connectivity in the mental lexicon, as well as oculomotor dynamics during naturalistic reading. Our data suggest that reading speed of multisentence texts is a viable alternative, and one that offers enhanced ecological validity, for investigations of visual word processing dynamics. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The immediate integration of semantic selectional restrictions of Chinese social hierarchical verbs with extralinguistic social hierarchical information in comprehension

Abstract Social hierarchical information impacts language comprehension. Nevertheless, the specific process underlying the integration of linguistic and extralinguistic sources of social hierarchical information has not been identified. For example, the Chinese social hierarchical verb 赡养, /shan4yang3/, ‘support: provide for the needs and comfort of one’s elders’, only allows its Agent to have a lower social status than the Patient. Using eye-tracking, we examined the precise time course of the integration of these semantic selectional restrictions of Chinese social hierarchical verbs and extralinguistic social hierarchical information during natural reading. A 2 (Verb Type: hierarchical vs. non-hierarchical) × 2 (Social Hierarchy Sequence: match vs. mismatch) design was constructed to investigate the effect of the interaction on early and late eye-tracking measures. Thirty-two participants (15 males; age range: 18–24 years) read sentences and judged the plausibility of each sentence. The results showed that violations of semantic selectional restrictions of Chinese social hierarchical verbs induced shorter first fixation duration but longer regression path duration and longer total reading time on sentence-final nouns (NP2). These differences were absent under non-hierarchical conditions. The results suggest that a mismatch between linguistic and extralinguistic social hierarchical information is immediately detected and processed.

Potentiality and Impotentiality in The Viceroys (1894) by Federico De Roberto

This essay furnishes a critical interpretation of Federico De Roberto’s novel The Viceroys (1894) within the theoretical coordinates provided by Giorgio Agamben’s notions of “potentiality” and “impotentiality” (dynamis and adynamia, respectively, in Aristotle’s Metaphysics). The essay argues that two apparently marginal characters in the story—Chiara’s aborted fetus and Cavaliere Eugenio—embody a possibility that is open to a radical unpredictability, which is to say, to an “impotentiality” that contrasts both Benedetto Croce’s naturalistic reading of the novel and Vittorio Spinazzola’s materialist account of it. In fact, Chiara’s fetus and Eugenio are presented as metaphors of the power of imagination and literature embedded in life (in the bíos). Such a power is opposed to that of “race,” upon which critics usually flatten their interpretations of The Viceroys and, in particular, their readings of Consalvo’s concluding speech to his aunt Ferdinanda (“no, our race has not degenerated; it is the same as it ever was”).

Word Frequency and Predictability Dissociate in Naturalistic Reading.

Many studies of human language processing have shown that readers slow down at less frequent or less predictable words, but there is debate about whether frequency and predictability effects reflect separable cognitive phenomena: are cognitive operations that retrieve words from the mental lexicon based on sensory cues distinct from those that predict upcoming words based on context? Previous evidence for a frequency-predictability dissociation is mostly based on small samples (both for estimating predictability and frequency and for testing their effects on human behavior), artificial materials (e.g., isolated constructed sentences), and implausible modeling assumptions (discrete-time dynamics, linearity, additivity, constant variance, and invariance over time), which raises the question: do frequency and predictability dissociate in ordinary language comprehension, such as story reading? This study leverages recent progress in open data and computational modeling to address this question at scale. A large collection of naturalistic reading data (six datasets, >2.2 M datapoints) is analyzed using nonlinear continuous-time regression, and frequency and predictability are estimated using statistical language models trained on more data than is currently typical in psycholinguistics. Despite the use of naturalistic data, strong predictability estimates, and flexible regression models, results converge with earlier experimental studies in supporting dissociable and additive frequency and predictability effects.

Use of the Read, Answer, Discuss, Explain and Create Learning Model in Science Learning Knowledge Nature to Improve Elementary School Students' Ability to Understand Concepts

Students' understanding of concepts is a form of ability to master a number of learning materials, where students do not just know and remember, but are able to re-express the concepts they understand using their own language or in a form that is easier to understand and comprehend. able to apply. The purpose of this research is to determine the increase in students' conceptual understanding abilities by using the RADEC learning model in science learning. The research method used is a mixed method with a sequential explanatory research design. The population in this study were all students in one of the West Bandung Regency elementary schools with a sample of 35 grade IV students. The instruments used in this research were test and non-test instruments. Data analysis techniques were carried out in a way Qualitative and quantitative . The results of this research are based on the results of pretest and posttest answers to students' concept understanding abilities. To strengthen these results, observations, interviews and distribution of student questionnaires were carried out regarding the difficulties of teachers and students in implementing this learning activity. Based on the results of data analysis, it can be concluded that the use of the RADEC learning model can improve the ability to understand concepts in class IV students as evidenced by the sig (Paired Sample T-Test) value of 0.000 < 0.05

Parafoveal and foveal N400 effects in natural reading: A timeline of semantic processing from fixation-related potentials.

The depth at which parafoveal words are processed during reading is an ongoing topic of debate. Recent studies using RSVP-with-flanker paradigms have shown that implausible words within sentences elicit an N400 component while they are still in parafoveal vision, suggesting that the semantics of parafoveal words can be accessed to rapidly update the sentence representation. To study this effect in natural reading, we combined the coregistration of eye movements and EEG with the deconvolution modeling of fixation-related potentials (FRPs) to test whether semantic plausibility is processed parafoveally during Chinese sentence reading. For one target word per sentence, both its parafoveal and foveal plausibility were orthogonally manipulated using the boundary paradigm. Consistent with previous eye movement studies, we observed a delayed effect of parafoveal plausibility on fixation durations that only emerged on the foveal word. Crucially, in FRPs aligned to the pretarget fixation, a clear N400 effect emerged already based on parafoveal plausibility, with more negative voltages for implausible previews. Once participants fixated the target, we again observed an N400 effect of foveal plausibility. Interestingly, this foveal N400 was absent whenever the preview had been implausible, indicating that when a word's (im)plausibility is already processed in parafoveal vision, this information is not revised anymore upon direct fixation. Implausible words also elicited a late positive component (LPC), but exclusively when in foveal vision. Our results not only provide convergent neural and behavioral evidence for the parafoveal uptake of semantic information, but also indicate different contributions of parafoveal versus foveal information toward higher level sentence processing.

Property and “le Propre”

This paper is concerned with Michel Serres’s critique of property. Through the concept of ‘le propre,’ which in French can mean both ‘clean’ and ‘one’s own,’ and a naturalist reading of Rousseau, he proposes a ‘stercorian’ eco-criticism of property. Focusing on concepts of limits provides a fruitful angle from which to illuminate Serres’s critique of law and property. The first section will introduce Serres as a thinker of limits, borders, and boundaries. In the second and third parts, attention will be drawn to his eco-criticism of law and property from a feminist and philosophy of science perspective, concluding with a fourth part, in which Serres’s approach will be contextualized in relation to other naturalisms. His work has far-reaching consequences for discourses of human agency in the context of the Anthropocene and makes a crucial contribution to how a new naturalist criticism of property might be conceived.

Deep Representation Learning for Open Vocabulary Electroencephalography-to-Text Decoding.

Previous research has demonstrated the potential of using pre-trained language models for decoding open vocabulary Electroencephalography (EEG) signals captured through a non-invasive Brain-Computer Interface (BCI). However, the impact of embedding EEG signals in the context of language models and the effect of subjectivity, remain unexplored, leading to uncertainty about the best approach to enhance decoding performance. Additionally, current evaluation metrics used to assess decoding effectiveness are predominantly syntactic and do not provide insights into the comprehensibility of the decoded output for human understanding. We present an end-to-end architecture for non-invasive brain recordings that brings modern representational learning approaches to neuroscience. Our proposal introduces the following innovations: 1) an end-to-end deep learning architecture for open vocabulary EEG decoding, incorporating a subject-dependent representation learning module for raw EEG encoding, a BART language model, and a GPT-4 sentence refinement module; 2) a more comprehensive sentence-level evaluation metric based on the BERTScore; 3) an ablation study that analyses the contributions of each module within our proposal, providing valuable insights for future research. We evaluate our approach on two publicly available datasets, ZuCo v1.0 and v2.0, comprising EEG recordings of 30 subjects engaged in natural reading tasks. Our model achieves a BLEU-1 score of 42.75%, a ROUGE-1-F of 33.28%, and a BERTScore-F of 53.86%, achieving an increment over the previous state-of-the-art by 1.40%, 2.59%, and 3.20%, respectively.

Diagnosing Reading Disorders based on Eye Movements during Natural Reading

Diagnosing Reading Disorders based on Eye Movements during Natural Reading

Mathematical formula detection in document images: A new dataset and a new approach

Most of existing mathematical formula detectors focus on detecting formula entities through object detection or instance segmentation techniques. However, these methods often fail to convey complete messages due to the absence of the contextual and layout information of mathematical formulas. For a more comprehensive understanding of mathematical formulas in document images, it is preferable to detect logical formula blocks that include one or multiple formula entities arranged in their natural reading order. These logical formula blocks enable the transmission of complete contextual messages of mathematical formulas and aid in the reconstruction of layout information of the document images, resulting in a more accurate mathematical formula detection. In this paper, we present a novel perspective on mathematical formula detection by framing it as a joint task of formula entity detection and formula relation extraction for identifying logical formula blocks. To this end, we introduce a new, large-scale dataset, called ArxivFormula, that includes well-annotated formula entity bounding boxes and formula relationships. We also propose a new approach, called FormulaDet, to address these two sub-tasks simultaneously. FormulaDet first employs a dynamic convolution-based formula entity detector, named DynFormula, to detect formula entities. It then uses a multi-modal transformer-based relation extraction method, named RelFormer, to group these detected formula entities into logical formula blocks. Extensive experiments on standard benchmarks in this field and the proposed dataset demonstrate that our FormulaDet can achieve significantly improved performance on formula entity detection and formula relation extraction compared to previous state-of-the-art methods. The joint detection and relation extraction approach provides a more thorough understanding of mathematical formulas in document images and effectively supports downstream tasks such as document layout analysis and scientific document digitization. The ArxivFormula dataset is publicly available at https://github.com/microsoft/ArxivFormula.

On the Effect of Anticipation on Reading Times

Abstract Over the past two decades, numerous studies have demonstrated how less-predictable (i.e., higher surprisal) words take more time to read. In general, these studies have implicitly assumed the reading process is purely responsive: Readers observe a new word and allocate time to process it as required. We argue that prior results are also compatible with a reading process that is at least partially anticipatory: Readers could make predictions about a future word and allocate time to process it based on their expectation. In this work, we operationalize this anticipation as a word’s contextual entropy. We assess the effect of anticipation on reading by comparing how well surprisal and contextual entropy predict reading times on four naturalistic reading datasets: two self-paced and two eye-tracking. Experimentally, across datasets and analyses, we find substantial evidence for effects of contextual entropy over surprisal on a word’s reading time (RT): In fact, entropy is sometimes better than surprisal in predicting a word’s RT. Spillover effects, however, are generally not captured by entropy, but only by surprisal. Further, we hypothesize four cognitive mechanisms through which contextual entropy could impact RTs—three of which we are able to design experiments to analyze. Overall, our results support a view of reading that is not just responsive, but also anticipatory.1