Studies Of Word Recognition Research Articles

The Reicher-Wheeler paradigm in word recognition research: a cautionary note on its actual contributions and published misconceptions.

The study of word recognition has been influenced greatly by findings obtained when visual stimuli are presented very briefly. Under these conditions, a great deal of evidence suggests that words are perceived better than nonwords, and even single letters, and it is generally accepted that these "word superiority effects" reflect the relative efficiency with which words are perceived. For more than 50 years, a key procedure for establishing these effects has been the Reicher-Wheeler Paradigm in which potentially confounding effects of non-perceptual guesswork are cleverly suppressed. More recently, however, the actual nature of the Reicher-Wheeler paradigm and its contribution to research have become misrepresented in a range of publications, and its use in experiments has been confused and conflated with other, less sophisticated procedures. In this article we describe the actual contributions made by the Reicher-Wheeler Paradigm to word recognition research and show examples of how these important contributions have been misunderstood and misconceived in experiments reported in the recent literature.

Comparing child word associations to adult associative norms: Evidence for child-specific associations with a strong priming effect in 3-year-olds

Investigating how infants first establish relationships between words is a necessary step towards understanding how an interconnected network of semantic relationships develops in the adult lexical-semantic system. Stimuli selection for these child studies is critical since words must be both familiar and highly imageable. However, there has been a reliance on adult word association norms to inform stimuli selection in English infant studies to date, as no resource currently exists for child-specific word associations. We present three experiments that explore the strength of word–word relationships in 3-year-olds. Experiment 1 collected children’s word associations (WA) (N = 150; female = 84, L1 = British English) and compared them to adult associative norms (Moss & Older, 1996; Nelson et al., 2004 (Behavior Research Methods, Instruments, & Computers, 36(3), 402–407)). Experiment 2 replicated WAs from Experiment 1 in an online adaptation of the task (N = 24: 13 female, L1 = British English). Both experiments indicated a high proportion of child-specific WAs not represented in adult norms (Moss & Older, 1996; Nelson et al., 2004 (Behavior Research Methods, Instruments, & Computers, 36(3), 402–407)). Experiment 3 tested noun–noun WAs from these responses in an online semantic priming study (N = 40: 19 female, L1 = British English) and found that association type modulated priming (F(2.57, 100.1) = 13.13, p <. 0001, generalized η2 = .19). This research presents a resource of child-specific imageable noun–noun word pair stimuli suitable for testing young children in word recognition and semantic priming studies.

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.

Does online masked priming pass the test? The effects of prime exposure duration on masked identity priming

Masked priming is one of the most important paradigms in the study of visual word recognition, but it is usually thought to require a laboratory setup with a known monitor and keyboard. To test if this technique can be safely used in an online setting, we conducted two online masked priming lexical decision task experiments using PsychoPy/PsychoJS (Peirce et al., 2019). Importantly, we also tested the role of prime exposure duration (33.3 vs. 50 ms in Experiment 1 and 16.7 vs. 33.3 ms in Experiment 2), thus allowing us to examine both across conditions and within-conditions effects. We found that our online data are indeed very similar to the masked priming data previously reported in the masked priming literature. Additionally, we found a clear effect of prime duration, with the priming effect (measured in terms of response time and accuracy) being stronger at 50 ms than 33.3 ms and no priming effect at 16.7 ms prime duration. From these results, we can conclude that modern online browser-based experimental psychophysics packages (e.g., PsychoPy) can present stimuli and collect responses on standard end user devices with enough precision. These findings provide us with confidence that masked priming can be used online, thus allowing us not only to run less time-consuming experiments, but also to reach populations that are difficult to test in a laboratory.

Fast priming of grammatical decisions: repetition and transposed-word priming effects.

We used the grammatical decision task to investigate fast priming of written sentence processing. Targets were sequences of 5 words that either formed a grammatically correct sentence or were ungrammatical. Primes were sequences of 5 words and could be the same word sequence as targets, a different sequence of words with a similar syntactic structure, the same sequence with two inner words transposed or the same sequence with two inner words substituted by different words. Prime-word sequences were presented in a larger font size than targets for 200 ms and followed by the target sequence after a 100 ms delay. We found robust repetition priming in grammatical decisions, with same sequence primes leading to faster responses compared with prime sequences containing different words. We also found transposed-word priming effects, with faster responses following a transposed-word prime compared with substituted-word primes. We conclude that fast primed grammatical decisions might offer investigations of written sentence processing what fast primed lexical decisions have offered studies of visual word recognition.

Distinct neural sources underlying visual word form processing as revealed by steady state visual evoked potentials (SSVEP)

EEG has been central to investigations of the time course of various neural functions underpinning visual word recognition. Recently the steady-state visual evoked potential (SSVEP) paradigm has been increasingly adopted for word recognition studies due to its high signal-to-noise ratio. Such studies, however, have been typically framed around a single source in the left ventral occipitotemporal cortex (vOT). Here, we combine SSVEP recorded from 16 adult native English speakers with a data-driven spatial filtering approach—Reliable Components Analysis (RCA)—to elucidate distinct functional sources with overlapping yet separable time courses and topographies that emerge when contrasting words with pseudofont visual controls. The first component topography was maximal over left vOT regions with a shorter latency (approximately 180 ms). A second component was maximal over more dorsal parietal regions with a longer latency (approximately 260 ms). Both components consistently emerged across a range of parameter manipulations including changes in the spatial overlap between successive stimuli, and changes in both base and deviation frequency. We then contrasted word-in-nonword and word-in-pseudoword to test the hierarchical processing mechanisms underlying visual word recognition. Results suggest that these hierarchical contrasts fail to evoke a unitary component that might be reasonably associated with lexical access.

Dual-stage and dual-deficit? Word recognition processes during text reading across the reading fluency continuum

Central questions in the study of visual word recognition and developmental dyslexia are whether early lexical activation precedes and supports decoding (a dual-stage view) or not (dual-route view), and the locus of deficits in dysfluent reading. The dual-route view predicts early word frequency and length interaction, whereas the dual-stage view predicts word frequency effect to precede the interaction effect. These predictions were tested on eye movements data collected from (n = 152) children aged 9–10 among whom reading dysfluency was overrepresented. In line with the dual-stage view, the results revealed an early word frequency effect in first fixation duration followed by robust word length effect in refixation probability and an interaction of word frequency and word length in summed refixation duration. This progression was advanced in fluent reading to be observable already in first fixation duration. Poor reading fluency was mostly explained by inflated first fixation durations, and to stronger word frequency and length effects in summed refixation duration. This pattern of results suggests deficits in early letter encoding and slowness in serial grapheme-phoneme conversion. In contrast to the widely held belief, the holistic orthographic processing of words seemed to be intact.

The pictures who shall not be named: Empirical support for benefits of preview in the Visual World Paradigm

A common critique of the Visual World Paradigm (VWP) in psycholinguistic studies is that what is designed as a measure of language processes is meaningfully altered by the visual context of the task. This is crucial, particularly in studies of spoken word recognition, where the displayed images are usually seen as just a part of the measure and are not of fundamental interest. Many variants of the VWP allow participants to sample the visual scene before a trial begins. However, this could bias their interpretations of the later speech or even lead to abnormal processing strategies (e.g., comparing the input to only preactivated working memory representations). Prior work has focused only on whether preview duration changes fixation patterns. However, preview could affect a number of processes, such as visual search, that would not challenge the interpretation of the VWP. The present study uses a series of targeted manipulations of the preview period to ask if preview alters looking behavior during a trial, and why. Results show that evidence of incremental processing and phonological competition seen in the VWP are not dependent on preview, and are not enhanced by manipulations that directly encourage phonological prenaming. Moreover, some forms of preview can eliminate nuisance variance deriving from object recognition and visual search demands in order to produce a more sensitive measure of linguistic processing. These results deepen our understanding of how the visual scene interacts with language processing to drive fixations patterns in the VWP, and reinforce the value of the VWP as a tool for measuring real-time language processing. Stimuli, data and analysis scripts are available at https://osf.io/b7q65/.

Individual differences in bilingual word recognition: The role of experiential factors and word frequency in cross-language lexical priming

AbstractIn studies of bilingual word recognition with masked priming, first language (L1) primes activate their second language (L2) translation equivalents in lexical decision tasks, but effects in the opposite direction are weaker (Wen &amp; van Heuven, 2017). This study seeks to clarify the relative weight of stimulus-level (frequency) and individual-level (L2 proficiency, L2 exposure/use) factors in the emergence of asymmetrical priming effects. We offer the first data set where L2 proficiency and L1/L2 exposure/use are simultaneously investigated as continuous variables, along with word frequency. While we replicate the asymmetry in priming effects, our data provide useful insights into the factors driving L2–L1 priming. These fall almost exclusively under the category of stimulus-level factors, with L2 exposure/use being the only experiential variable to show considerable influence, although complex interactions involving L2 proficiency and word frequency are also present. We discuss the implications of these results for models of bilingual lexical processing and for the appropriate measurement of experiential factors in this type of research.

The Two Sides of Linguistic Context: Eye-Tracking as a Measure of Semantic Competition in Spoken Word Recognition Among Younger and Older Adults.

Studies of spoken word recognition have reliably shown that both younger and older adults’ recognition of acoustically degraded words is facilitated by the presence of a linguistic context. Against this benefit, older adults’ word recognition can be differentially hampered by interference from other words that could also fit the context. These prior studies have primarily used off-line response measures such as the signal-to-noise ratio needed for a target word to be correctly identified. Less clear is the locus of these effects; whether facilitation and interference have their influence primarily during response selection, or whether their effects begin to operate even before a sentence-final target word has been uttered. This question was addressed by tracking 20 younger and 20 older adults’ eye fixations on a visually presented target word that corresponded to the final word of a contextually constraining or neutral sentence, accompanied by a second word on the computer screen that in some cases could also fit the sentence context. Growth curve analysis of the time-course of eye-gaze on a target word showed facilitation and inhibition effects begin to appear even as a spoken sentence is unfolding in time. Consistent with an age-related inhibition deficit, older adults’ word recognition was slowed by the presence of a semantic competitor to a degree not observed for younger adults, with this effect operating early in the recognition process.

RNN based online handwritten word recognition in Devanagari and Bengali scripts using horizontal zoning

Devanagari and Bengali scripts are two of the most popular scripts in India. Most of the existing word recognition studies in these two scripts have relied upon the widely used Hidden Markov Model (HMM), in spite of its familiar shortcomings. The existing works were evaluated against and performed well in their chosen metrics. But, the existing word recognition systems in these two scripts could not achieve more than 90% recognition accuracy. This article proposes a novel approach for online handwritten cursive and non-cursive word recognition in Devanagari and Bengali scripts based on two recently developed models of Recurrent Neural Network (RNN)—Long–Short Term Memory (LSTM) and Bidirectional Long–Short Term Memory (BLSTM). The proposed approach divides each word horizontally into three zones—upper, middle, and lower, to reduce the variations in basic stroke order within a word. Next, the word portions from middle zone are re-segmented into its basic strokes. Various structural and directional features are then extracted from each basic stroke of the word separately for each zone. These zone wise basic stroke features are then studied using both LSTM and BLSTM versions of RNN. Most of the existing word recognition systems in these two scripts have followed word based class labelling approach, whereas proposed system has followed the basic stroke based class labelling approach. An exhaustive experiment on large datasets has been performed to evaluate the performance of the proposed approach using both RNN and HMM to make a comparative performance analysis. Experimental results show that the proposed RNN based system is superior over HMM achieving 99.50% and 95.24% accuracies in Devanagari and Bengali scripts respectively and outperforms existing HMM based systems in the literature as well.

A model-guided dissociation between subcortical and cortical contributions to word recognition

Neurocognitive studies of visual word recognition have provided information about brain activity correlated with orthographic processing. Some of these studies related the orthographic neighborhood density of letter strings to the amount of hypothetical global lexical activity (GLA) in the brain as simulated by computational models of word recognition. To further investigate this issue, we used GLA of words and nonwords from the multiple read-out model of visual word recognition (MROM) and related this activity to neural correlates of orthographic processing in the brain by using functional magnetic resonance imaging (fMRI). Words and nonwords elicited linear effects in the cortex with increasing BOLD responses for decreasing values of GLA. In addition, words showed increasing linear BOLD responses for increasing GLA values in subcortical regions comprising the hippocampus, globus pallidus and caudate nucleus. We propose that these regions are involved in the matching of orthographic input onto representations in long-term memory. The results speak to a potential involvement of the basal ganglia in visual word recognition with globus pallidus and caudate nucleus activity potentially reflecting maintenance of orthographic input in working memory supporting the matching of the input onto stored representations by selection of appropriate lexical candidates and the inhibition of orthographically similar but non-matching candidates.

Deciding to look: revisiting the linking hypothesis for spoken word recognition in the visual world

ABSTRACTThe visual world paradigm (VWP) studies of spoken word recognition rely on a linking hypothesis that connects lexical activation to the probability of looking at the referent of a word. The standard hypothesis is that fixation probabilities track activation levels transformed via the Luce Choice Rule. Under this assumption, given enough power, any difference between positive activations should be detectable using VWP. We argue that looking at a referent of a word is a decision, made when the word’s activation exceeds a context-specific threshold. Subthreshold activations do not drive saccades, and differences among such activations are undetectable in VWP. Evidence is provided by VWP experiments on Japanese. Bayesian analyses indicate a relatively high threshold: saccades to cohort competitors do not exceed those to unrelated distractors unless the cohort competitor shares the initial CVC with the target. We argue that threshold setting constitutes an understudied source of variability in VWP data.

The perceptual flow of phonetic information.

Over a long and distinguished career, Randy Diehl has elucidated the brain mechanisms underlying spoken language processing. The present study touches on two of Randy's central interests, phonetic features and Bayesian statistics. How does the brain go from sound to meaning? Traditional approaches to the study of speech intelligibility and word recognition are unlikely to provide a definitive answer. A finer-grained, Bayesian-inspired approach may help. In this study, listeners identified 11 Danish consonants spoken in a Consonant + Vowel + [l] environment. Each syllable was filtered so that only a portion of the original audio spectrum was presented. Three-quarter-octave bands of speech, centered at 750, 1,500, and 3,000 Hz, were presented individually and in combination. The conditional, posterior probabilities associated with decoding the phonetic-features Voicing, Manner, and Place of Articulation were computed from confusion matrices to delineate the perceptual flow of phonetic information processing. Analysis of the conditional probabilities associated with both correct and incorrect feature decoding suggest that Manner of articulation is linked to the decoding of Voicing (but not vice-versa), and that decoding of Place of articulation is associated with decoding of Manner of articulation (but not the converse). Such feature-decoding asymmetries may reflect processing strategies in which the decoding of lower-level features, such as Voicing and Manner, is leveraged to enhance the recognition of more complex linguistic elements (e.g., phonetic segments, syllables, and words), especially in adverse listening conditions. Such asymmetric feature decoding patterns are consistent with a hierarchical, perceptual flow model of phonetic processing.

A database of orthography-semantics consistency (OSC) estimates for 15,017 English words.

Orthography-semantics consistency (OSC) is a measure that quantifies the degree of semantic relatedness between a word and its orthographic relatives. OSC is computed as the frequency-weighted average semantic similarity between the meaning of a given word and the meanings of all the words containing that very same orthographic string, as captured by distributional semantic models. We present a resource including optimized estimates of OSC for 15,017 English words. In a series of analyses, we provide a progressive optimization of the OSC variable. We show that computing OSC from word-embeddings models (in place of traditional count models), limiting preprocessing of the corpus used for inducing semantic vectors (in particular, avoiding part-of-speech tagging and lemmatization), and relying on a wider pool of orthographic relatives provide better performance for the measure in a lexical-processing task. We further show that OSC is an important and significant predictor of reaction times in visual word recognition and word naming, one that correlates only weakly with other psycholinguistic variables (e.g., family size, word frequency), indicating that it captures a novel source of variance in lexical access. Finally, some theoretical and methodological implications are discussed of adopting OSC as one of the predictors of reaction times in studies of visual word recognition.

Early lexical processing of Chinese words indexed by Visual Mismatch Negativity effects

Although Mismatch Negativity (MMN) effects indicating early, automatic lexical processing have been reported in the auditory language modality, so far these have not been reliably obtained in MMN studies of visual word recognition. The present study explores this discrepancy by investigating whether visual MMN (vMMN) effects can be obtained in written Chinese single-character word recognition. While participants were engaged in a non-linguistic distraction task, we measured Event-Related Potentials (ERPs) time-locked to perifoveally-presented real and pseudo- characters matched in overall visual-orthographic attributes. VMMN was defined as significant difference between the ERPs to characters presented as deviants or as standards in a context of non-characters. For the native Chinese readers, af ter sub-lexical structural detection from 120–160 ms, only real characters elicited vMMN at the interval of 170–210 ms, suggesting that lexical information in Chinese words is processed early and automatically. In a later window of 340–380 ms, both real and pseudo- characters yielded vMMNs. In a control group of non-Chinese participants, no evidence of vMMN was found for either real or pseudo-characters. Taken together, these results suggest that long-term memory representations for real characters may enable their early processing even in unattended conditions.

How hard can it be? A study of word recognition of word forms with reduced segments

How hard can it be? A study of word recognition of word forms with reduced segments

Waiting for lexical access: Cochlear implants or severely degraded input lead listeners to process speech less incrementally

Spoken language unfolds over time. Consequently, there are brief periods of ambiguity, when incomplete input can match many possible words. Typical listeners solve this problem by immediately activating multiple candidates which compete for recognition. In two experiments using the visual world paradigm, we examined real-time lexical competition in prelingually deaf cochlear implant (CI) users, and normal hearing (NH) adults listening to severely degraded speech. In Experiment 1, adolescent CI users and NH controls matched spoken words to arrays of pictures including pictures of the target word and phonological competitors. Eye-movements to each referent were monitored asa measure of how strongly that candidate was considered over time. Relative to NH controls, CI users showed a large delay in fixating any object, less competition from onset competitors (e.g., sandwich after hearing sandal), and increased competition from rhyme competitors (e.g., candle after hearing sandal). Experiment 2 observed the same pattern with NH listeners hearing highly degraded speech. These studies suggests that in contrast to all prior studies of word recognition in typical listeners, listeners recognizing words in severely degraded conditions can exhibit a substantively different pattern of dynamics, waiting to begin lexical access until substantial information has accumulated.

Is pupillary response a reliable index of word recognition? Evidence from a delayed lexical decision task.

Previous word recognition studies have shown that the pupillary response is sensitive to a word's frequency. However, such a pupillary effect may be due to the process of executing a response, instead of being an index of word processing. With the aim of exploring this possibility, we recorded the pupillary responses in two experiments involving a lexical decision task (LDT). In the first experiment, participants completed a standard LDT, whereas in the second they performed a delayed LDT. The delay in the response allowed us to compare pupil dilations with and without the response execution component. The results showed that pupillary response was modulated by word frequency in both the standard and the delayed LDT. This finding supports the reliability of using pupillometry for word recognition research. Importantly, our results also suggest that tasks that do not require a response during pupil recording lead to clearer and stronger effects.

Brain Wave Recognition of Word Imagination Based on Support Vector Machines

Brain-computer interface is a kind of new information exchange and control technology, and the key is to give an accurate and timely identification of electrical machine characteristic parameters of thinking expected action pattern and then to transform them into control command. This paper mainly studies the brain wave identification method of the human brain in imagining Chinese words. Researchers have studied the right and left hand movement imagination, but for the study of word recognition, especially Chinese words’ EEG identification research, there are no researches on them. The successful identification of EEG of Chinese words in brain imagination can greatly extend the application scope of BCI, and it plays a role in BCI research.