Orthographic Neighborhood Size Research Articles

Effects of lexical skills and orthographic neighborhood size in word memory

Two experiments were designed to investigate the relationship between individual lexical skills in young adults and memory performance on words varying by their orthographic neighborhood size. In Experiment 1, a sample of 100 university students were administrated a set of spelling, reading, and vocabulary tests to assess their lexical skills. Then, they had to learn mixed lists of words from high and low neighborhood size and perform free recall and memory recognition tasks. Importantly, high lexical skills were found to enhance free recall and, to a lesser extent, recognition. In addition, a typical mirror effect of neighborhood size was found in recognition as words were better recognized and also produced less false alarms when they had a low neighborhood size. In Experiment 2, pure lists of words were designed and a new sample of 90 university students was assessed. We replicated the effect of lexical skills in free recall and the effect of neighborhood size for hits in recognition. Spelling skills were found to interact with neighborhood size in free recall in that low spelling skills were associated with a facilitatory effect of neighborhood size. In recognition, a relation between reading skills and neighborhood size was found such that the higher the reading skills, the higher was the inhibitory effect of neighborhood size. These results provide new evidence of an influence of lexical skills in word memory performance and underline the role of orthographic neighborhood size in episodic memory tasks.

Reduction or enhancement? Repetition effects on early brain potentials during visual word recognition are frequency dependent.

Most studies on word repetition have demonstrated that repeated stimuli yield reductions in brain activity. Despite the well-known repetition reduction effect, some literature reports repetition enhancements in electroencephalogram (EEG) activities. However, although studies of object and face recognition have consistently demonstrated both repetition reduction and enhancement effects, the results of repetition enhancement effects were not consistent in studies of visual word recognition. Therefore, the present study aimed to further investigate the repetition effect on the P200, an early event-related potential (ERP) component that indexes the coactivation of lexical candidates during visual word recognition. To achieve a high signal-to-noise ratio, EEG signals were decomposed into various modes by using the Hilbert-Huang transform. Results demonstrated a repetition enhancement effect on P200 activity in alpha-band oscillation and that lexicality and orthographic neighborhood size would influence the magnitude of the repetition enhancement effect on P200. These findings suggest that alpha activity during visual word recognition might reflect the coactivation of orthographically similar words in the early stages of lexical processing. Meantime, there were repetition reduction effects on ERP activities in theta-delta band oscillation, which might index that the lateral inhibition between lexical candidates would be omitted in repetition.

Orthographic neighborhood effects during lateralized lexical decision are abolished with bilateral presentation.

Words presented to the right visual field (RVF) are processed more rapidly than those in the left visual field (LVF), presumably because of more direct links to the language dominant left cerebral hemisphere. This effect is moderated by a word's orthographic neighborhood size (N), with LVF facilitation and RVF inhibition for words with a large N. Across two experiments, we sought to further examine lateralized N effects. Experiment 1 examined how hemispheric dominance for language influenced lateralized N effects, in 140 left-handers using a visual half-field task with bilateral presentation. Neither participants with a right ear advantage on a dichotic listening task nor participants with no right ear advantage showed the expected N effect, making the results ambiguous: it could be that left-handers fail to show N effects, or the effect could be abolished by some procedural aspect. Experiment 2 looked to test these options by testing 56 right-handers who responded to the same stimulus set under the original bilateral presentation condition and under unilateral presentation. N effects were found under unilateral but not bilateral presentation. We had adopted bilateral presentation because it had been recommended as better than unilateral presentation for controlling fixation and visual stimulation; our results indicate that this is not a minor methodological modification: it can dramatically affect lateralized N effects. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

The Persian Lexicon Project: minimized orthographic neighbourhood effects in a dense language.

In recent years large datasets of lexical processing times have been released for several languages, including English, French, Spanish, and Dutch. Such datasets have enabled us to study, compare, and model the global effects of many psycholinguistic measures such as word frequency, orthographic neighborhood (ON) size, and word length. We have compiled and publicly released a frequency and ON dictionary of 64,546 words and 1800 plausible NWs from a language that has been relatively little studied by psycholinguists: Persian. We have also collected visual lexical decision reaction times for 1800 Persian words and nonwords. Persian offers an interesting psycholinguistic environment for several reasons, including that it has few long words and has resultantly dense orthographic neighborhoods. These characteristics provide us with an opportunity to contrast how these factors affect lexical access by comparing them to several other languages. The results suggest that sensitivity to word length and orthographic neighbourhood may reflect the statistical structure of a particular language, rather than being a universal element of lexical processing. The dictionary and LDRT data are available from https://osf.io/tb4m6/ .

The Effects of Orthographic Neighborhood Size and the Influence of Individual Differences in Linguistic Skills During the Recognition of Chinese Words.

There are still inconsistencies as to whether frequency and orthographic neighborhood size affect the reading and recognition of Chinese words. In addition, research on Chinese reading still adheres to the view that “all skilled readers read in the same way” and pays little attention to the influence of individual differences in linguistic skills on word recognition. In this research, we studied the recognition of Chinese two-character words in a lexical decision task (LDT) by manipulating neighborhood size and word frequency and controlling the frequency of the initial constituent character. Individual differences in linguistic skills were assessed through tests of spelling and reading comprehension. The results showed that: (1) A larger orthographic neighborhood size of the initial character had a facilitative effect on Chinese word recognition. The orthographic neighborhood size effect is modulated by word frequency, but this modulation effect was not stable. (2) Spelling and reading comprehension skills are good indicators to assess individual differences in Chinese linguistic skills, and they are significantly correlated. (3) Individual differences in linguistic skills influence the neighborhood size effect, which is moderated by word frequency.

Predictability eliminates neighborhood effects during Chinese sentence reading.

Previous research has demonstrated effects of both orthographic neighborhood size and neighbor frequency in word recognition in Chinese. A large neighborhood-where neighborhood size is defined by the number of words that differ from a target word by a single character-appears to facilitate word recognition, while the presence of a higher-frequency neighbor has an inhibitory effect. The present study investigated modulation of these effects by a word's predictability in context. In two eye-movement experiments, the predictability of a target word in each sentence was manipulated. Target words differed in their neighborhood size (Experiment 1) and in whether they had a higher-frequency neighbor (Experiment 2). The study replicated the previously observed effects of neighborhood size and neighbor frequency when the target word was unpredictable, but in both experiments neighborhood effects were absent when the target was predictable. These results suggest that when a word is preactivated by context, the activation of its neighbors may be diminished to such an extent that these neighbors do not effectively compete for selection.

The role of orthographic neighbourhood effects in lateralized lexical decision: a replication study and meta-analysis.

The effect of orthographic neighbourhood size (N) on lexical decision reaction time differs when words are presented in the left or right visual fields. Evidence suggests a facilitatory N effect (i.e., faster reaction times for words with larger neighbourhoods) in the left visual field. However, the N effect in the right visual field remains controversial: it may have a weaker facilitative role or it may even be inhibitory. In a pre-registered online experiment, we replicated the interaction between N and visual field and provided support for an inhibitory N effect in the right visual field. We subsequently conducted a pre-registered systematic review and meta-analysis to synthesise the available evidence and determine the direction of N effects across visual fields. Based on the evidence, it would seem the effect is inhibitory in the right visual field. Furthermore, the size of the N effect is considerably smaller in the right visual field. Both studies revealed considerable heterogeneity between participants and studies, and we consider the implications of this for future work.

Lost in a Story, Detached from the Words

ABSTRACT This article explores the relationship between low- and high-level aspects of reading by studying the interplay between word processing, as measured with eye tracking, and narrative absorption and liking, as measured with questionnaires. Specifically, we focused on how individual differences in sensitivity to lexical word characteristics—measured as the effect of these characteristics on gaze duration—were related to narrative absorption and liking. By reanalyzing a large data set consisting of three previous eye-tracking experiments in which subjects (N = 171) read literary short stories, we replicated the well-established finding that word length, lemma frequency, position in sentence, age of acquisition, and orthographic neighborhood size of words influenced gaze duration. More importantly, we found that individual differences in the degree of sensitivity to three of these word characteristics, i.e., word length, lemma frequency, and age of acquisition, were negatively related to print exposure and to a lesser degree to narrative absorption and liking. Even though the underlying mechanisms of this relationship are still unclear, we believe the current findings underline the need to map out the interplay between, on the one hand, the technical and, on the other hand, the subjective processes of reading by studying reading behavior in more natural settings.

Using an item-specific predictor to test the dimensionality of the orthographic choice task.

The orthographic choice (OC) task-requiring individuals to choose the correct spelling between a word and a pseudohomophone foil (e.g., goat vs. gote)-has been used as an outcome measure of orthographic learning and as a predictor of individual differences in word reading development. Some consider the OC task a measure of orthographic knowledge (e.g., Conrad, Harris, & Williams (Reading and Writing, 26(8), 1223-1239, 2013)), whereas others have suggested that the task measures a reader's familiarity with the word's orthographic representation and thus measures word reading skill (e.g., Castles & Nation, 2006). We examined this assertion by testing OC task performance of individuals ages 8 to 18 (J = 296) and their ability to read the OC target words (I = 80) in isolation using crossed random effects item-response models. Results reveal that response on the OC task is not fully determined by the ability of an individual to read the target word in isolation. Specifically, the probability of choosing the correct orthographic form when the word was pronounced incorrectly was .79; whereas it was .90 when the word was pronounced correctly. Measures of receptive spelling and phonemic awareness (person-characteristics) and word frequency and orthographic neighborhood size (item-characteristics) accounted for significant variance in orthographic choice after controlling for target item reading and other reading-related abilities. We interpret the results to suggest that the OC task taps both item-specific orthographic knowledge and more general orthographic knowledge.

Orthographic neighborhood size volatility analysis in the context of writing assessment

Abstract Writing assessment was conducted using the orthographic neighborhood size as a numerical measure of transforming literacy to numeracy. The neighborhood size was calculated using the free online CLEARPOND technology from Northwestern University. The transformed numerical information can be viewed as a time series where fluctuation analysis could be applied. The concept of volatility used in stock market analysis was employed to analyze the fluctuation of the orthographic neighborhood sizes in short essays assigned to students in an introductory astronomy course offered by an open admission community college. The results showed that writing containing scientific words with low neighborhood sizes exhibited high volatility, consistent with high-demand cognitive tasks students were asked to perform. A random shuffling of the words in a sentence generated word-list sequences where the students would be asked to exercise rules of grammar to select the correct sequence. The hypothesis that the reading of a high volatility in the neighborhood size histogram would be expected to correspond to a high-demand cognitive task was tested in this exploratory project. The CLEARPOND output contained a list of phonological neighborhood sizes and the association of orthographic volatility with phonological volatility is also studied with additional examples from presidential debate sentences and song lyrics. This proof of concept volatility project brings stock market analysis, based on econometric methodology, into writing and language studies that demand precision comparison. The volatility analysis results in comparison to lexical diversity analysis results are also discussed.

The Curious Role of Morphological Family Size in Language Minority Learners’ Problem Solving of Unfamiliar Words

ABSTRACT Given that words from the academic layer of English typically carry bound roots (min in diminish) rather than free-standing base words (small in smaller), there is a need to understand the factors that make bound roots more or less accessible for morphological problem-solving unfamiliar words. We investigated the contributions of learner characteristics and morpheme/word characteristics to the morphological problem-solving skill of 87 language minority learners. Participants analyzed 18 morphologically complex, unfamiliar words on a Morphological Analysis Task. Among learner characteristics, results from multilevel logistic models indicated that only English proficiency predicted difficulty. For root characteristics, semantic opaqueness, phonological shift, and orthographic neighborhood size predicted difficulty as expected. Morphological family size also predicted difficulty, but in unexpected ways, with larger family size predicting greater difficulty. Exploratory analyses suggested that family size may interact with other root characteristics to further influence difficulty. Findings hold implications for models of morphological processing and literacy intervention design.

Numerical Assessment of Orthographic Neighbourhood Size Fluctuation in Writing Using Fractal Dimension Analysis

ABSTRACT The orthographic size of a targeted word, the number of new words that can be generated from a targeted word by exchanging a single letter, offers a research window where words can be transformed into numerical values. The CLEARPOND technology from Northwestern University was used for the transformation. A writing can then be modelled as a time series where the fluctuation can be further described using fractal dimension analysis. This project used the Higuchi fractal method for the computation of the fractal dimensions of time series. The proof of concept was conducted using writing examples which include Astronomy writing and English writing, the responses of Trump and Clinton in a Presidential election debate, and song lyrics. The results suggested that a high fractal dimension has an association with a high-demand cognitive task. The use of fractal dimension analysis as a writing assessment tool is discussed with relationship to the current lexical diversity computation technology.

Neighborhood effects in Chinese character recognition: Going beyond phonological perspectives to explain a possible underlying mechanism

In recent years, there has been an increase of research investigating the neighborhood effect in Chinese character recognition. As for whether orthographic neighborhood size (NS) effect reveals facilitative or inhibitory results in Chinese character recognition, opinions vary and the question is still under debate. To clarify this topic, the present study implemented two experiments, the materials of which respectively were irregular-inconsistent phonograms in Experiment 1 (1A and 1B), and regular-consistent phonograms in Experiment 2 (2A and 2B). The researchers manipulated the orthographic NS and the number of higher frequency neighbors (HFNs) of the target characters, with the character frequency controlled. Results indicated that, regardless of the regularity and consistency of the stimuli, an inhibitory NS effect was observed. Moreover, in conditions of targets both with and without HFN, inhibitory NS effects were also stably displayed. This study revealed a possible underlying mechanism of the orthographic NS effect in the lexical decision task and naming task with Chinese characters, and exploited a global theoretical framework involving the neighborhood effect of characters in Chinese.

The complex interactions of context availability, polysemy, word frequency, and orthographic variables during lexical processing.

In this study we examined the interactions of context availability, polysemy, word frequency, and orthographic neighborhood variables during lexical processing. Context availability and polysemy interacted, in that words that were both lower in context availability and had fewer related senses were especially disadvantaged, as was originally reported by Tokowicz and Kroll (2007). Word frequency interacted with both polysemy and context availability, in that the effects of polysemy and context availability were stronger for lower-frequency words. Finally, orthographic neighborhood size and frequency both interacted with polysemy: the effect of polysemy was greater for words with smaller orthographic neighborhoods and a greater number of higher-frequency neighbors. These findings provide support for the context availability hypothesis (Schwanenflugel & Shoben, 1983). Specifically, the feedback activation account (Hino & Lupker, 1996) offers a mechanistic explanation of our findings that is rooted in feedback from semantic to orthographic representations.

BasiScript

Abstract This short paper introduces BasiScript, a 9-million-word corpus of contemporary Dutch texts written by primary school children. The data were collected over three years with 17,216 children contributing texts throughout this period. Each word token in the corpus is annotated with the correct orthographical form, the associated lemma and the part of speech. The most frequent polysemous words have been annotated for word meaning, while all words in the lexicon that was derived from the BasiScript corpus have been annotated for corpus and subcorpora frequency, dispersion, length, family size, family frequency, orthographic neighborhood size, and orthographic neighborhood frequency. Images of the texts are available to researchers. The present article describes the corpus and presents a comparison of BasiScript with BasiLex (a Dutch corpus with texts primary school children are likely to read, completed in 2015) by means of frequency profiling.

Disentangling cross-language orthographic neighborhood from markedness effects in L2 visual word recognition.

Previous research has reported that lexical access in bilinguals is language non-selective. In the present study, we explored the extent to which cross-language orthographic neighborhood size (N-size) effects, an index of language non-selectivity, should be dissociated from markedness effects, a sub-lexical orthographic variable referring to the degree of language- shared (unmarked) versus specific (marked) orthography. Two proficiency groups of French/English bilinguals performed an English (L2) lexical decision task with three word and non-word conditions: (1) English words with large French N-size/unmarked orthography (price), (2) small French N-size/unmarked orthography (drive), and (3) small French N-size/marked orthography (write). Evidence was found for orthographic markedness effects, albeit with a different pattern for word and non-word processing: while marked words were facilitated (responded to faster and more accurately) compared to unmarked words, the opposite pattern emerged for non-words. The pattern of results was comparable in both proficiency groups. No evidence emerged for the influence of first language (L1) neighborhood on L2 word or non-word processing. Thus, the results emphasize the need to integrate orthographic markedness as a relevant psycholinguistic variable in bilingual models of visual word recognition such as BIA/+ and to take it into account when investigating cross- language effects and the issue of language non-selectivity during visual word recognition.

The role of character positional frequency on Chinese word learning during natural reading.

Readers’ eye movements were recorded to examine the role of character positional frequency on Chinese lexical acquisition during reading and its possible modulation by word spacing. In Experiment 1, three types of pseudowords were constructed based on each character’s positional frequency, providing congruent, incongruent, and no positional word segmentation information. Each pseudoword was embedded into two sets of sentences, for the learning and the test phases. In the learning phase, half the participants read sentences in word-spaced format, and half in unspaced format. In the test phase, all participants read sentences in unspaced format. The results showed an inhibitory effect of character positional frequency upon the efficiency of word learning when processing incongruent pseudowords both in the learning and test phase, and also showed facilitatory effect of word spacing in the learning phase, but not at test. Most importantly, these two characteristics exerted independent influences on word segmentation. In Experiment 2, three analogous types of pseudowords were created whilst controlling for orthographic neighborhood size. The results of the two experiments were consistent, except that the effect of character positional frequency was absent in the test phase in Experiment 2. We argue that the positional frequency of a word’s constituent characters may influence the character-to-word assignment in a process that likely incorporates both lexical segmentation and identification.

The Hopkins Verbal Learning Test: an in-depth analysis of recall patterns

ABSTRACTOne of the earliest signs of dementia is memory issues and verbal word lists, such as the Hopkins Verbal Learning Test (HVLT), are successfully used for screening. To gain insight in how memory is affected in dementia, and to further improve the efficacy of the HVLT, in-depth analysis of the recall patterns of dementia cases and controls was conducted. Dementia cases and controls were matched for factors that can affect performance, such as age, gender and education level. Word frequency, syllable length, and orthographic neighbourhood size did not differ in the Indonesian version of the HVLT, nor did these characteristics affect recall. However dementia cases showed consistent and poor recall across the three trials; with the worst recall for the “human shelter” category and best recall for the “animals” category. Dementia cases also showed impaired accessibility of all categories with reduced subsequent recall from accessed categories and reduced primacy and recency levels. Finally, dementia cases exhibited lower levels of re-remembering and recalling new words, and higher levels of immediate forgetting and never recalling words. It was concluded that utilising the extra information provided by the in-depth analyses of the recall patterns could be beneficial to improve dementia screening.

Applying Psycholinguistic Evidence to the Construction of a New Test of Verbal Memory in Late-Life Cognitive Decline: The Auditory Wordlist Learning Test

The construction of the German Auditory Wordlist Learning Test (AWLT) for the assessment of verbal memory in late-life cognitive decline was guided by psycholinguistic evidence, which indicates that a word's linguistic characteristics influence its probability of being learned and recalled. The AWLT includes four trials of learning, short and long delayed free recall, and a recognition task. Its words were selected with taking into account their semantic content, orthographic length, frequency in the language, and orthographic neighborhood size (the number of words derived by adding, subtracting, or replacing a single letter at a time). Through this method, it was possible to better control item and test difficulty, improve the similarity between parallel forms, and reduce bias through recall advantages for certain words due to their linguistic characteristics. In two pilot studies with cognitively healthy subjects, the AWLT showed good internal consistency, split-half reliability, and parallel forms reliability and proved able to assess learning, retention, and recognition. Overall, linguistic recall effects were mitigated; however, an advantage for high-frequency words was observed.

Modeling the N400 ERP component as transient semantic over-activation within a neural network model of word comprehension

The study of the N400 event-related brain potential has provided fundamental insights into the nature of real-time comprehension processes, and its amplitude is modulated by a wide variety of stimulus and context factors. It is generally thought to reflect the difficulty of semantic access, but formulating a precise characterization of this process has proved difficult. Laszlo and colleagues (Laszlo & Plaut, 2012; Laszlo & Armstrong, 2014) used physiologically constrained neural networks to model the N400 as transient over-activation within semantic representations, arising as a consequence of the distribution of excitation and inhibition within and between cortical areas. The current work extends this approach to successfully model effects on both N400 amplitudes and behavior of word frequency, semantic richness, repetition, semantic and associative priming, and orthographic neighborhood size. The account is argued to be preferable to one based on “implicit semantic prediction error” (Rabovsky & McRae, 2014) for a number of reasons, the most fundamental of which is that the current model actually produces N400-like waveforms in its real-time activation dynamics.