Orthographic Neighborhood Research Articles

Neighborhood frequency effects in simple and complex span: Do high-frequency neighbors help or hurt?

A word's orthographic neighborhood is the set of words that differ from the target word by one letter. Both Roodenrys (2009) and Robert et al. (Journal of Psycholinguistic Research, 44, 119-125, 2015) posit that orthographic neighbors are activated when the target word is encountered in tasks such as simple and complex span. The two accounts differ in that the former predicts a beneficial effect of this activation, because it produces feedback activation that helps redintegrate the target word, whereas the latter predicts a detrimental effect, because the need to overcome the greater interference from the larger number of higher-frequency items reduces the processing resources available. Four experiments assess the predictions of these two accounts. Experiments 1 and 2 found a beneficial effect of having a higher- compared with a lower-frequency neighborhood in both a simple and a complex span task. Experiments 3 and 4 found no detrimental effect of having one or more neighbors with higher frequency than the target in both a simple and complex span task. Implications for the two theories are discussed.

HeLP: The Hebrew Lexicon project

Lexicon projects (LPs) are large-scale data resources in different languages that present behavioral results from visual word recognition tasks. Analyses using LP data in multiple languages provide evidence regarding cross-linguistic differences as well as similarities in visual word recognition. Here we present the first LP in a Semitic language—the Hebrew Lexicon Project (HeLP). HeLP assembled lexical decision (LD) responses to 10,000 Hebrew words and nonwords, and naming responses to a subset of 5000 Hebrew words. We used the large-scale HeLP data to estimate the impact of general predictors (lexicality, frequency, word length, orthographic neighborhood density), and Hebrew-specific predictors (Semitic structure, presence of clitics, phonological entropy) of visual word recognition performance. Our results revealed the typical effects of lexicality and frequency obtained in many languages, but more complex impact of word length and neighborhood density. Considering Hebrew-specific characteristics, HeLP data revealed better recognition of words with a Semitic structure than words that do not conform to it, and a drop in performance for words comprising clitics. These effects varied, however, across LD and naming tasks. Lastly, a significant inhibitory effect of phonological ambiguity was found in both naming and LD. The implications of these findings for understanding reading in a Semitic language are discussed.

Guessing errors made by children with dyslexia in word and text reading.

Children with dyslexia face persistent difficulties in reading acquisition, which results in poor reading accuracy. In addition to the commonly studied reading errors such as omissions, additions, substitutions, and letter reversals, they also make guessing errors characterized by replacing a word with an orthographic neighbor. These errors, which occur in the context of isolated words and sentence or text reading, might be linked to the inhibition issues that have already been demonstrated in connection to dyslexia. However, to the best of our knowledge, there is no experimental evidence that children with dyslexia make more guessing errors than typically developing children, as is the case for sequential errors. The current study aimed to evaluate whether children with dyslexia made more guessing errors than typically developing children and whether these errors were more frequent in an isolated word or sentence context. Twenty-eight children with dyslexia from Grade 4 were matched with typically developing children by either chronological age or reading level. Reading was assessed through word and text reading tasks. Error types were classified into seven categories and analyzed. A repeated-measure ANOVA showed that children with dyslexia made more guessing errors, particularly visual and morphemic errors, than typically developing children. Moreover, these errors were found at both the single word and sentence levels. These findings suggest that children with dyslexia tend to use a global treatment of words, relying on incomplete information to compensate for their difficulties. The findings have practical implications for pedagogical and therapeutic approaches.

Expanding the neighbourhood watch: Orthographic neighbours in isiXhosa reading and spelling

Background: Lexical properties such as orthographic neighbours have been shown to have an influence on reading and writing; however, this phenomenon is yet to be explored in the Southern Bantu languages.Objectives: We investigate the role of orthographic neighbourhood density and neighbourhood frequency in reading and spelling in Grade 3 isiXhosa home-language learners. The aim is to establish whether orthographic neighbours facilitate or hinder reading and spelling. The dual-route model of orthographic processing is used to interpret our findings.Method: Data were collected from 97 Grade 3 isiXhosa home-language learners. Lexical decision, word reading, and spelling tasks were administered. Tasks included both real and pseudowords varying in orthographic neighbourhood density and neighbourhood frequency, while controlling for word length and word frequency.Results: Findings show a significant inhibitory effect of orthographic neighbourhood frequency and word length for spelling accuracy. Longer words with higher frequency neighbours were more likely to be spelt incorrectly. No effect was recorded for the lexical decision and word reading tasks.Conclusion: Our findings suggest that spelling in isiXhosa relies partially on lexical processing strategies, which allows for the inhibitory effects of orthographic neighbours to be observed. While in reading, sublexical processing is more prominent, therefore mitigating the effect of orthographic neighbours.Contribution: Empirical evidence for the effects of orthographic neighbours, specifically in a Southern Bantu language, provides a clearer picture of the underlying cognitive-linguistic processes involved in reading and writing. This evidence may contribute to the development of targeted pedagogical practices to address spelling errors.

Emotion effects survive non-standard orthographic representations

ABSTRACT Digital communication has generated forms of written speech that may deviate from standard ones, such as Greeklish (a Latin-alphabet-based script) vs. Greek. The question of interest is how different orthographic representations of the same referent (e.g. petaloyda, “butterfly”, in Greeklish vs. πϵταλούδα “butterfly” in Greek) may influence word processing, particularly visual word recognition and access to affective connotations. 120 Greek native speakers were tested on a lexical decision task, in which script (Greeklish vs. Greek) and valence (positive vs. negative vs. neutral) were manipulated within participants. Words were matched for word class, frequency, concreteness, length, number of syllables and orthographic neighbourhood. Emotional words differed from neutral ones in valence and arousal. Results yielded faster response times for words written in the standard script (Greek) than the non-standard script (Greeklish). Moreover, regardless of script, response times were negatively correlated with the words’ valence, with slowest responses for negative words and fastest for positive ones, suggesting that positive content accelerates lexical access, whereas negative content slows it down. To sum up, although script type was found to affect word recognition, activation of and access to emotional content seemed to resist non-standard characteristics of visual word processing.

Valence without meaning: Investigating form and semantic components in pseudowords valence

Valence is a dominant semantic dimension, and it is fundamentally linked to basic approach-avoidance behavior within a broad range of contexts. Previous studies have shown that it is possible to approximate the valence of existing words based on several surface-level and semantic components of the stimuli. Parallelly, recent studies have shown that even completely novel and (apparently) meaningless stimuli, like pseudowords, can be informative of meaning based on the information that they carry at the subword level. Here, we aimed to further extend this evidence by investigating whether humans can reliably assign valence to pseudowords and, additionally, to identify the factors explaining such valence judgments. In Experiment 1, we trained several models to predict valence judgments for existing words from their combined form and meaning information. Then, in Experiment 2 and Experiment 3, we extended the results by predicting participants’ valence judgments for pseudowords, using a set of models indexing different (possible) sources of valence and selected the best performing model in a completely data-driven procedure. Results showed that the model including basic surface-level (i.e., letters composing the pseudoword) and orthographic neighbors information performed best, thus tracing back pseudoword valence to these components. These findings support perspectives on the nonarbitrariness of language and provide insights regarding how humans process the valence of novel stimuli.

Rethinking orthographic neighbor in Chinese two-character word recognition: Insights from a megastudy.

The influence of orthographic neighbors on visual word recognition is well established in alphabetic scripts. To determine the universality of this effect across writing systems, researchers have been keen on exploring its presence and nature in Chinese word recognition. Given that Chinese is logographic, it necessitates a different definition for orthographic neighbors from the ones used in alphabetic scripts. One popular approach is to consider words that share characters as orthographic neighbors. Adopting this definition, a facilitative effect has been observed for characters that can create more words. However, as characters are also morphemes in Chinese, the facilitation found might actually come from a larger morphological family size. This possibility was tested in the present study by analyzing data from the Chinese Lexicon Project (CLP; Tse et al., Behavior Research Methods, 49, 1503-1519, 2017, Behavior Research Methods, 49, 1503-1519, 2022), a megastudy of two-character word recognition in traditional Chinese. If the effects of character-sharing are indeed morphological in nature, the facilitation should be smaller for ambiguous characters because the words formed are distributed over several morphological families. The results of the analyses were consistent with this hypothesis, revealing interactions between the number of words formed by a character and the number of meanings of the character. The implications of these findings were discussed in the context of definitions of orthographic neighbors and theories of word recognition in Chinese.

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.

Lexical competition in the flankers task revisited.

We investigated the impact of flanking stimuli that are orthographic neighbors of central target words in the reading version of the flankers task. Experiment 1 provided a replication of the finding that flanking words that are orthographic neighbors of central target words (e.g., BLUE BLUR BLUE) facilitate lexical decisions relative to unrelated word flankers (e.g., STEP BLUR STEP). Experiment 2 tested the hypothesis that this facilitatory effect might be due to the task that was used in Experiment 1 and in prior research-the lexical decision task. In Experiment 2 the task was perceptual identification, and here we observed that orthographic neighbor flankers interfered with target word identification. Experiment 2 also included a bigram flanker condition (e.g., BL BLUR UE), and here the related bigram flankers facilitated target word identification. We conclude that when the task requires identification of a specific word, effects of lexical competition emerge over and above the facilitatory effects driven by the sublexical spatial pooling of orthographic information across target and flankers, and that the inhibitory influence of lexical competition has an even stronger impact when flankers are whole words.

Global mapping congruence influences phonological interference: ERP evidence for early and persistent ortho-phonological effects in reading Chinese for meaning.

Phonological interference during written-word meaning judgments occurs in both Chinese and English, suggesting that word-level phonological activation is universal rather than dependent on the sublexical structures that vary with writing systems. To accommodate this universality, we distinguish two sources of phonological congruence between a meaning-bearing orthographic unit (word or character) and other units in the orthographic lexicon: (a) Global congruence between a word (or character) and its orthographic neighbors having the same pronunciation and (b) Local congruence between a word (or character) and its graphic constituents (letters or radicals). Recent evidence by Zhou and Perfetti in 2021 shows a greater role for global than local congruence in covert naming of Chinese characters. We hypothesize this is true also for meaning processing and use behavioral and event-related potential (ERP) measures to test this hypothesis during character meaning judgments. As expected, we found word-level phonological interference in meaning decision times. Further, ERPs detected interference effects related to global congruence at early and mid-latency ERP components; local congruence effects emerged only in interaction with global congruence. A late ERP component (LPC) also showed phonological interference, but no effect on mapping congruence. These time-course results suggest two phases of phonological activation: (a) character identification, influenced mainly by global congruence, as indicated in early and mid-latency ERP components and (b) meaning comparison, influenced only by lexical phonology, as indicated by the LPC component. The early phase of lexical processing is much the same whether meaning or pronunciation is required because it engages ortho-phonological associations that are not easily suppressed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Evidence from a within-language comparison in Japanese for orthographic depth theory: Monte Carlo simulations, corpus-based analyses, neural networks, and human experiment

The orthographic depth theory assumes that reading “deep” orthographies relies on lexical semantics more than “shallow” orthographies. Although Japanese kanji is a representative “deep” case, some scholars argue that kanji reading does not particularly recruit more lexical semantics than kana (the system of syllabic writing used for Japanese consisting of two forms). To reconcile this inconsistency, we ran a Monte Carlo simulation and found that orthographic neighbors in kanji had higher semantic similarities than those in kana. We further conducted a semantic space analysis (‘Word2Vec’) and showed that there was significant radical-level orthographic-semantic consistency in kanji characters. Furthermore, we demonstrated that this consistency had a positive effect on language performance in models (in terms of next-character prediction) and humans (in terms of semantic plausibility judgment). These findings suggest that radicals in kanji may help children to efficiently learn to use the vast number of characters present in Japanese.

Masked orthographic neighbor priming effects in Chinese two-character words

AbstractIn masked priming lexical decision tasks in alphabetic or syllabic script languages, latencies are longer when a word target is primed by a higher frequency neighbor (e.g., blue–BLUR) than when primed by an unrelated word of equivalent frequency (e.g., care–BLUR) – an “inhibitory neighbor priming effect.” In contrast, Zhou et al. (1999) demonstrated facilitatory orthographic neighbor priming for two-character Chinese words (e.g., 华丽–华贵). However, Zhou et al. did not control for relative prime-target frequency, which has been shown to be important in experiments when examining languages with other scripts. In the present Experiment 1 word neighbor primes (e.g., 容易-容貌) produced an inhibitory neighbor priming effect when the prime was higher frequency than the target, paralleling effects in other script languages. In further experiments, paralleling those in other script languages, two-character targets primed by nonword neighbors (容待-容貌) or single constituent characters matching the target in either position (容-容貌) showed significant facilitation. These results suggest that lexical activation/competition processes for two-character Chinese words are reasonably similar to those for words in alphabetic/syllabic script languages.

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.

Automated Measures of Lexical Sophistication: Predicting Proficiency in an Integrated Academic Writing Task

Background. Advances in automated analyses of written discourse have made available a wide range of indices that can be used to better understand linguistic features present in language users’ discourse and the relationships these metrics hold with human raters’ assessments of writing.
 Purpose. The present study extends previous research in this area by using the TAALES 2.2 software application to automatically extract 484 single and multi-word metrics of lexical sophistication to examine their relationship with differences in assessed L2 English writing proficiency.
 Methods. Using a graded corpus of timed, integrated essays from a major academic English language test, correlations and multiple regressions were used to identify specific metrics that best predict L2 English writing proficiency scores.
 Results. The most parsimonious regression model yielded four-predictor variables, with total word count, orthographic neighborhood frequency, lexical decision time, and word naming response time accounting for 36% of total explained variance.
 Implications. Results emphasize the importance of writing fluency (by way of total word count) in assessments of this kind. Thus, learners looking to improve writing proficiency may find benefit from writing activities aimed at increasing speed of production. Furthermore, despite a substantial amount of variance explained by the final regression model, findings suggest the need for a wider range of metrics that tap into additional aspects of writing proficiency.

Readers scrutinize lexical familiarity only in the absence of expectations: Evidence from lexicality effects on event-related potentials

Readers generate predictions about the meaning of upcoming words while reading constraining sentences. These predictions feed down to predictions about orthographic form. For example, orthographic neighbors of predicted words yield reduced N400 amplitudes compared to non-neighbors regardless of lexical status (Laszlo & Federmeier, 2009). We investigated whether readers are sensitive to lexicality in low constraint sentences when they must scrutinize the perceptual input more closely for word recognition. In a replication and extension of Laszlo and Federmeier (2009), we observed similar patterns as the original study in high constraint sentences, but found a lexicality effect in low constraint sentences that was not present when the sentence was highly constraining. This suggests that, in the absence of strong expectations, readers adopt a different reading strategy to scrutinize the structure of words more in depth to make sense of what they have read compared to when they encounter a supportive sentence context.

Neighborhood frequency effect on Chinese character recognition: An investigation of lexical decision tasks

Many studies have found that the orthographic neighborhood frequency (NF) effect plays a dominant role in word identification. Yet most research has been conducted on alphabetic languages rather than Chinese. We investigated the NF effect on Chinese character recognition in the context of lexical decision tasks. Experiment 1 tested the NF effect in simple characters, Experiment 2 tested the NF effect in compound characters. Results showed that targets with higher frequency neighbors had longer response latencies for both simple characters and compound characters, and that this inhibitory effect was more significant for low-frequency targets. The results overall imply there is an inhibitory NF effect existing in Chinese character recognition. The implications of the results are discussed with regard to character recognition.

Modeling verbal short-term memory: A walk around the neighborhood.

When remembering over the short-term, long-term knowledge has a large effect on the number of correctly recalled items and little impact on memory for order. This is true, for example, when the effects of semantic category are examined. Contrary to what these findings suggest, Poirier et al. in 2015 proposed that memory for order relies on the level of activation within long-term networks. Importantly, although their view has been criticized, they showed that manipulating semantic associations led to item migrations that were atypical. In this article, we show that similar migrations can be obtained with another knowledge-based factor: orthographic neighborhood. In three experiments, we manipulated the orthographic neighborhood of to-be-recalled items. The latter is a sublexical factor; as such, it is much less likely than semantic relatedness to involve demand characteristics or grouping strategies. The first experiment established that the neighborhood manipulation produced the pattern of item migrations previously observed with semantic relatedness, confirming that the migration effect can generalize to other variables. The last two experiments suggested that migrations were due to the features shared across list items rather than to item co-activation (as in Poirier et al.). The results were successfully modeled by calling upon the Revised Feature Model, where recall depends on selecting a retrieval candidate based on the features of the cueing information. Overall, our findings underline the usefulness of a model where retrieval is determined by relative distinctiveness and underline that multiple mechanisms can lead to order errors in recall. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Study of the orthographic neighborhood frequency effect on Chinese compound characters

Study of the orthographic neighborhood frequency effect on Chinese compound characters

Lateralized reading in the healthy brain: A behavioral and computational study on the nature of the visual field effect

Despite its widespread use to measure functional lateralization of language in healthy subjects, the neurocognitive bases of the visual field effect in lateralized reading are still debated. Crucially, the lack of knowledge on the nature of the visual field effect is accompanied by a lack of knowledge on the relative impact of psycholinguistic factors on its measurement, thus potentially casting doubts on its validity as a functional laterality measure. In this study, an eye-tracking-controlled tachistoscopic lateralized lexical decision task (Experiment 1) was administered to 60 right-handed and 60 left-handed volunteers and word length, orthographic neighborhood, word frequency, and imageability were manipulated. The magnitude of visual field effect was bigger in right-handed than in left-handed participants. Across the whole sample, a visual field-by-frequency interaction was observed, whereby a comparatively smaller effect of word frequency was detected in the left visual field/right hemisphere (LVF/RH) than in the right visual field/left hemisphere (RVF/LH). In a subsequent computational study (Experiment 2), efficient (LH) and inefficient (RH) activation of lexical orthographic nodes was modelled by means of the Naïve Discriminative Learning approach. Computational data simulated the effect of visual field and its interaction with frequency observed in the Experiment 1. Data suggest that the visual field effect can be biased by word frequency. Less distinctive connections between orthographic cues and lexical/semantic output units in the RH than in the LH can account for the emergence of the visual field effect and its interaction with word frequency.

Electrophysiological patterns of visual word recognition in deaf and hearing readers: an ERP mega-study

ABSTRACT Deaf and hearing readers have different access to spoken phonology which may affect the representation and recognition of written words. We used ERPs to investigate how a matched sample of deaf and hearing adults (total n = 90) responded to lexical characteristics of 480 English words in a go/no-go lexical decision task. Results from mixed effect regression models showed (a) visual complexity produced small effects in opposing directions for deaf and hearing readers, (b) similar frequency effects, but shifted earlier for deaf readers, (c) more pronounced effects of orthographic neighbourhood density for hearing readers, and (d) more pronounced effects of concreteness for deaf readers. We suggest hearing readers have visual word representations that are more integrated with phonological representations, leading to larger lexically-mediated effects of neighbourhood density. Conversely, deaf readers weight other sources of information more heavily, leading to larger semantically-mediated effects and altered responses to low-level visual variables.