Chapter Phonological Coding in Visual Language Processing - Brysbaert in Snowling et al (2022)

In this chapter I summarize the evidence that phonology is involved in visual word recognition and text reading. This is even the case in groups with suboptimal access to spoken language (such as people born deaf and students learning a second language in school). The phonological code helps to make reading fluent, as suggested by the finding that reading problems (dyslexia) are often associated with deficits in phonology. This should come as no surprise, given that silent reading is a recent skill, which mankind added to its spoken communication developed over 2 million years.

Reading without phonology: ERP evidence from skilled deaf readers of Spanish

Reading typically involves phonological mediation, especially for transparent orthographies with a regular letter to sound correspondence. In this study we ask whether phonological coding is a necessary part of the reading process by examining prelingually deaf individuals who are skilled readers of Spanish. We conducted two EEG experiments exploiting the pseudohomophone effect, in which nonwords that sound like words elicit phonological encoding during reading. The first, a semantic categorization task with masked priming, resulted in modulation of the N250 by pseudohomophone primes in hearing but not in deaf readers. The second, a lexical decision task, confirmed the pattern: hearing readers had increased errors and an attenuated N400 response for pseudohomophones compared to control pseudowords, whereas deaf readers did not treat pseudohomophones any differently from pseudowords, either behaviourally or in the ERP response. These results offer converging evidence that skilled deaf readers do not rely on phonological coding during visual word recognition. Furthermore, the finding demonstrates that reading can take place in the absence of phonological activation, and we speculate about the alternative mechanisms that allow these deaf individuals to read competently.

Orthographic, Phonological, and Semantic Dynamics During Visual Word Recognition in Deaf Versus Hearing Adults

Purpose Studies on reading in individuals with severe-to-profound hearing loss (deaf) raise the possibility that, due to deficient phonological coding, deaf individuals may rely more on orthographic–semantic links than on orthographic–phonological links. However, the relative contribution of phonological and semantic information to visual word recognition in deaf individuals was not directly assessed in these studies. The aim of the present study, therefore, was to examine the interplay between orthographic, phonological, and semantic representations during visual word recognition, in deaf versus hearing adults. Method Deaf and hearing participants were asked to perform a visual lexical decision task in Hebrew. The critical stimuli consisted of three types of Hebrew words, which differ in terms of their relationship between orthography, phonology, and semantics: unambiguous words, homonyms, and homographs. Results In the hearing group, phonological effects were more pronounced than semantic effects: Homographs (multiple pronunciations) were recognized significantly slower than homonyms or unambiguous words (one pronunciation). However, there was no significant difference between homonyms (multiple meanings) and unambiguous words (one meaning). In contrast, in the deaf group, there was no significant difference among the three word types, indicating that visual word recognition, in these participants, is driven primarily by orthography. Conclusion While visual word recognition in hearing readers is accomplished mainly via orthographic–phonological connections, deaf readers rely mainly on orthographic–semantic connections.

Assessing Higher Order Language Processing in Long-Term Cochlear Implant Users

Purpose The purpose of this study was to describe and explain individual differences in complex/higher order language processing in long-term cochlear implant (CI) users relative to normal-hearing (NH) peers. Method Measures of complex/higher order language processing indexed by the Clinical Evaluation of Language Fundamentals–Fourth Edition (CELF-4) Core Language subtests were obtained from 53 long-term (≥ 7 years) CI users aged 9–29 years and 60 NH controls who did not differ in age, gender, or nonverbal IQ. Vocabulary knowledge and fast, automatic language processing (rapid phonological coding, verbal rehearsal speed, and speech intelligibility) were also assessed. Results CI users showed weaker performance than NH controls on all CELF-4 Core Language subtests. These differences remained for Formulated Sentences and Recalling Sentences even when vocabulary knowledge was statistically controlled. About 50% of the CI sample scored within the range of the NH sample on Formulated Sentences and Recalling Sentences, while the remaining 50% scored well below the NH sample on these subtests. Vocabulary knowledge, rapid phonological coding, verbal rehearsal speed, and speech intelligibility were more strongly correlated with CELF-4 subtest scores in the CI sample than in the NH sample. Conclusions Weaknesses in complex, higher order language processing shown by a subgroup of CI users compared to NH peers may result from delays in fast, automatic processing of language. These at-risk domains of language functioning could serve as targets for novel interventions for deaf children who experience suboptimal spoken language outcomes following cochlear implantation.

Spelling Scoring Metrics in Malay Language: An Investigation among Young Spellers

The aim of this study was to investigate the relationship among three spelling scoring metrics, namely, words spelled correctly (WSC), correct letter sequences (CLS), and phonological coding (PC) in Malay language. The relationship between spelling measure and word reading measure was studied. There were 866 Primary 1 (Grade 1 equivalent) students from 11 randomly selected public primary schools in Kuching, Sarawak Malaysia who participated in this study. The study showed that the scores from each scoring metric were highly correlated to each other. There was a strong relationship between each spelling outcome to word reading.