Reading comprehension improvement in autism.

Introduction: A subset of autistic children excel at word decoding but have difficulty with reading comprehension (i.e., the discrepant poor comprehender reading profile). Prior research suggests the Visualizing and Verbalizing (V/V) for language comprehension and thinking intervention helps improve reading comprehension in autistic children with this reading profile. Previous studies have demonstrated the role of vocabulary, memory, and social functioning in reading comprehension; however, predictors and moderators of reading comprehension within this specific profile of autistic readers have not been thoroughly explored. Methods: In this study, we examined the effectiveness of the V/V intervention by comparing reading comprehension scores between groups and across time. Participants included a sample of autistic children (AUT-EXP; n=22) and a waitlist control group of autistic children (AUT-WLC; n=17) with reading comprehension difficulties, as well as a sample of non-autistic children (Non-AUT; n=26) (all age 8-13 years). AUT-EXP and AUT-WLC groups completed a battery of cognitive assessments during pre and post tests. We also analyzed whether cognitive assessment scores predicted reading comprehension, and examined the moderating effects of group (AUT-EXP vs. AUT-WLC) on these relationships. Results: The AUT-EXP group significantly improved in their pre to post reading comprehension scores (t(21)=4.19, p<.001, d=.89), whereas the AUT-WLC group did not. Verbal memory significantly predicted reading comprehension, though group did not moderate relationships between cognitive test performance and reading comprehension. Discussion: Results suggest that the V/V intervention may help improve reading comprehension for autistic children with the discrepant poor comprehender reading profile. Additionally, strategies for improving verbal memory may indirectly enhance reading comprehension in autistic children with this reading profile.

Eye-movement reveals word order effects on comparative sentences in older adults using a verb-final language.

Objectives: This study aimed to examine age-related differences in the comprehension of Korean comparative sentences with varying word orders by employing both offline and online measures, and to investigate how variations in word order affect sentence processing across different age groups. Methods: A total of 52 monolingual native Korean speakers, 26 young adults, and 26 older adults, completed a sentence-picture-matching task under two word order conditions: comparative-first and nominative-first. Offline measures included accuracy and response time, while an online method involved eye-tracking within the Visual World Paradigm. Data analyses were performed using linear and generalized linear mixed-effects models. Results: Older adults demonstrated lower accuracy and longer response times compared to younger individuals. Distinctive fixation patterns were observed, particularly in the sentential-final phrase, across different age groups. Specifically, nominative-first sentences elicited greater target advantage scores among younger adults, whereas older adults showed higher scores in comparative-first sentences. Conclusion: The study highlights the potential of comparative sentences in elucidating age-related changes in sentence comprehension. These differences were evident not only in offline tasks but also in real-time processing, as evidenced by eye-tracking data. The findings suggest distinct processing strategies employed by young and older adults and underscore the importance of considering both syntactic and semantic cues in sentence comprehension.

Narrative skills and language comprehension in preschool children with cochlear implants: A comparison with children with Developmental Language Disorder or typical development.

INTRODUCTION: The narrative skills of children with cochlear implants (CIs) are fragile, but the factors at play and whether these difficulties could be similar to those detected in language impairment are not clear. The present study aims to assess, at the microstructural level, narrative skills, comparing children with CIs with children with Developmental Language Disorder (DLD) or Typical Development (TD). Furthermore, the relationship between verbal (lexical and morphosyntactic) comprehension and narrative skills across groups is investigated. METHODS: The narratives of 19 children with CIs (Mage = 62.42 months, SD = 6.83), 13 children with DLD (Mage = 65.38 months, SD = 4.27), and 18 preschool children with TD (Mage = 63.67 months, SD = 4.31) were assessed in a standardized task. Articles, prepositions, pronouns, gender and number agreement, accuracy in the use of verbs, and number of arguments in each sentence were analysed. Lexical and morphosyntactic comprehension were also assessed. Performance was compared across groups using ANOVAs or Kruskal-Wallis tests. The role of lexical and morphosyntactic comprehension in predicting each morphological and syntactic element in the narrative task was examined using linear regressions. RESULTS: Data analysis showed that both children with CIs and DLD had fragilities in narration, both in the morphological and syntactic components. Although some differences between children with CIs and those with DLD emerged in descriptive analyses, these were not statistically significant. Regressions showed that morphosyntactic comprehension predicted the number of pronouns produced only in the TD group. CONCLUSIONS: The scarce differences between CI and DLD groups and the absence of an effect of morphosyntactic comprehension on pronoun production may be due to their low production of these elements in the narrative task and/or to a difficulty in managing pronouns in an expressive task regardless of their ability to comprehend them. Potential implications of these results are discussed.

Finding structure during incremental speech comprehension.

A core aspect of human speech comprehension is the ability to incrementally integrate consecutive words into a structured and coherent interpretation, aligning with the speaker's intended meaning. This rapid process is subject to multidimensional probabilistic constraints, including both linguistic knowledge and non-linguistic information within specific contexts, and it is their interpretative coherence that drives successful comprehension. To study the neural substrates of this process, we extract word-by-word measures of sentential structure from BERT, a deep language model, which effectively approximates the coherent outcomes of the dynamic interplay among various types of constraints. Using representational similarity analysis, we tested BERT parse depths and relevant corpus-based measures against the spatiotemporally resolved brain activity recorded by electro-/magnetoencephalography when participants were listening to the same sentences. Our results provide a detailed picture of the neurobiological processes involved in the incremental construction of structured interpretations. These findings show when and where coherent interpretations emerge through the evaluation and integration of multifaceted constraints in the brain, which engages bilateral brain regions extending beyond the classical fronto-temporal language system. Furthermore, this study provides empirical evidence supporting the use of artificial neural networks as computational models for revealing the neural dynamics underpinning complex cognitive processes in the brain.

Oral language predictors of word reading and spelling: A cross-linguistic comparison in bilingual and monolingual children.

The current study investigated linguistic predictors of word reading and spelling skills in a cross-linguistic comparison (French vs. Italian) in heritage bilinguals (HBs) and their monolingual peers. The sample included 265 children (French: n = 113; 67 monolinguals and 46 HBs; Italian: n = 152; 82 monolinguals and 70 HBs) attending Grades 3, 4, and 5 while performing oral language, reading, and spelling tasks. The battery included verbal knowledge, morphosyntactic comprehension, nonword repetition, word reading (speed and accuracy), and spelling tasks. Results showed that for reading speed, there were no main effects of single predictors, but a significant interaction of morphosyntactic comprehension by language of schooling emerged. For reading accuracy, there was a main effect of verbal knowledge and syntactic comprehension, with a significant interaction of verbal knowledge and language of schooling. Finally, spelling accuracy was predicted only by linguistic status. The results suggest different pathways for word reading and spelling, with oral language skills' main role in reading accuracy and linguistic status's main role in spelling skills, possibly hindered by linguistic exposure and lexical access. Discussions are focused on potential implications for multilingual settings and cross-linguistic research.

Category Locality Theory: A unified account of locality effects in sentence comprehension.

In real-time sentence comprehension, the comprehender is often required to establish syntactic dependencies between words that are linearly distant. Major models of sentence comprehension assume that longer dependencies are more difficult to process because of working memory limitations. While the expected effect of distance on reading times (locality effect) has been robustly observed in certain constructions, such as relative clauses in English, its generalizability to a wider range of constructions has been empirically questioned. The current study proposes a new metric of syntactic distance that capitalizes on the flexible constituency of Combinatory Categorial Grammar (CCG), and argues that it offers a unified account of the locality effects. It is shown that this metric correctly predicts both the presence of the locality effect in English relative clauses and its absence in verb-final languages, without assuming language- or dependency-specific differences in the sensitivity to the locality effect. It is further shown that the CCG-based distance is a significant predictor of the self-paced reading times from an English corpus, even when other known predictors such as dependency-based locality and surprisal are taken into account. These results suggest that human sentence comprehension involves rapid integration of input words into efficiently compressed syntactic representations, and CCG is a plausible theory of the grammar that subserves this process.

Impact of background music on reading comprehension: influence of lyrics language and study habits.

Numerous studies have explored the effects of background music on reading comprehension, however, little is known about how native language (L1) lyrics and second language (L2) lyrics in background music influence reading comprehension performance for college students. The present study used a mixed experimental design to examine the effects of listening habits (between-participants variable: non-listeners or listeners), music type (between-participants variable: L1 (Mandarin) pop music, L2 (English) pop music or no music) and text language (within-participants variable: L1 or L2) on reading comprehension of college students in East China. A total of 90 participants (50 females) were screened into non- listeners (n = 45) and listeners (n = 45), and then were randomly assigned to one of three groups: Mandarin pop music group (n = 30), English pop music group (n = 30) and no music group (n = 30). The results showed that reading comprehension performance was negatively affected by music with lyrics compared to the no music condition. Furthermore, Chinese/English reading comprehension was reduced more by pop music in the same language as the written texts. As expected, non-listeners were more negatively affected by music with lyrics than listeners. For both listeners and non-listeners, average reading comprehension accuracy rates were the lowest in the condition of music with native language lyrics. Overall, our research findings indicate that listening to pop music with lyrics reduces reading comprehension performance. However, listening to background music cause much less distraction if the students commonly listen to music while reading. The current study supports the duplex-mechanism account of auditory distraction.

Indirect and direct contributions of executive functions to reading comprehension.

In the current study, we investigated the role of executive functions in explaining how word recognition and language comprehension jointly predict reading comprehension in multilingual and monolingual students (Grades 1 and 2). Specifically, mediation and moderation models were tested and compared to offer a more nuanced understanding of the role of executive functions in reading comprehension. The results provided support for the mediation model in which executive functions indirectly contribute to reading comprehension via word recognition and language comprehension in both language groups. In addition, executive functions directly predicted reading comprehension (i.e., partial mediation). These findings suggest that executive functions serve as general cognitive processes that support word recognition, language comprehension, and reading comprehension (i.e., direct contribution) as well as facilitate connecting word recognition and language comprehension in support for reading comprehension (i.e., indirect contribution). These findings are consistent with prominent models of reading comprehension.

Differences in scanpath pattern and verbal working memory predicts efficient reading in the Cloze gap-filling test.

Different tests measure text comprehension, including the cloze gap-filling test, often used for language learning. Different studies hypothesized cognitive strategies in this type of test and their relationship with working memory and performance. However, no study investigated the cloze test, working memory, and possible cognitive strategies, while performing the test. Therefore, this study aimed to identify cognitive visual strategies in the cloze test by applying an unsupervised algorithm and to analyze the relationship between these strategies with working memory and performance in the cloze test. Our sample consisted of 51 university students, the largest sample in studies of cognitive strategies with cloze tests. Participants answered an 11-item cloze test in a computer with eye-tracking, a verbal working memory test, and a visuospatial working memory test. Our analysis of participants' scanpath identified two main strategies: one with fewer toggles between text and word bank and fewer fixations than the other one, indicating the existence of a global strategy. Furthermore, a model predicting the efficiency of participants in the cloze test found that item complexity, using a global strategy, and higher scores of working memory were the most significant predictors. These results confirm the hypothesis of a global strategy being related to successfully achieving higher-order reading processes.

Reading comprehension differences between children with Autism Spectrum Disorder and low cognitive abilities and children with Autism Spectrum Disorder and intact cognitive skills: the roles of decoding, fluency and morphosyntax.

Introduction: Reading comprehension is one of the most important skills learned in school and it has an important contribution to the academic success of children with Autism Spectrum Disorder (ASD). Though previous studies have investigated reading comprehension difficulties in ASD and highlighted factors that contribute to these difficulties, this evidence has mainly stemmed from children with ASD and intact cognitive skills. Also, much emphasis has been placed on the relation between reading comprehension and word recognition skills, while the role of other skills, including fluency and morphosyntax, remains underexplored. This study addresses these gaps by investigating reading comprehension in two groups of school-aged children with ASD, one with intact and one with low cognitive abilities, also exploring the roles of word decoding, fluency and morphosyntax in each group's reading comprehension performance. Methods: The study recruited 16 children with ASD and low cognitive abilities, and 22 age-matched children with ASD and intact cognitive skills. The children were assessed on four reading subdomains, namely, decoding, fluency, morphosyntax, and reading comprehension. Results: The children with ASD and low cognitive abilities scored significantly lower than their peers with intact cognitive abilities in all reading subdomains, except for decoding, verb production and compound word formation. Regression analyses showed that reading comprehension in the group with ASD and intact cognitive abilities was independently driven by their decoding and fluency skills, and to a lesser extent, by morphosyntax. On the other hand, the children with ASD and low cognitive abilities mainly drew on their decoding, and to a lesser extent, their morphosyntactic skills to perform in reading comprehension. Discussion: The results suggest that reading comprehension was more strongly affected in the children with ASD and low cognitive abilities as compared to those with intact cognitive skills. About half of the children with ASD and intact cognitive skills also exhibited mild-to-moderate reading comprehension difficulties, further implying that ASD may influence reading comprehension regardless of cognitive functioning. Finally, strengths in decoding seemed to predominantly drive cognitively-impaired children's reading performance, while the group with ASD and intact cognitive skills mainly recruited fluency and metalinguistic lexical skills to cope with reading comprehension demands, further suggesting that metalinguistic awareness may be a viable way to enhance reading comprehension in ASD.

Verbal-Like Effects of Nonverbal Stimuli.

Stimuli produced by verbal responses (verbal stimuli) usually reveal something about the speakers who emitted them and about the environment where the verbal responses occurred (i.e., verbal stimuli can evoke in the listeners responses concerning the speakers and their environments). Verbal stimuli can also constitute supplementary stimulation that evokes responses which are already strong in the repertoire of some listeners or readers. Stimuli not produced by verbal responses (nonverbal stimuli), topographically similar to verbal stimuli, cannot reveal anything about speakers and their environments, but some of them can evoke responses that are already strong in the repertoire of some listeners or readers. Therefore, nonverbal stimuli allow one to distinguish clearly between the two functions of verbal stimuli. This article adopts a Skinnerian perspective and explores the implications of the supplementary function of stimuli for what is usually called understanding (and misunderstanding). Even when verbal stimuli are misunderstood, they can evoke verbal or nonverbal responses that are useful to the listeners. This effect can play a major role when it comes to aesthetic responses made to literary works, for example. Implications of the supplementary function of verbal stimuli for translations of ancient texts are also discussed. As supplementary stimulation, verbal stimuli can produce notable effects on the behavior of listeners and readers (even when the stimuli are misunderstood), although traditional mentalistic approaches to verbal behavior tend to neglect them.

L2 Arabic learners' processing of Arabic garden-path sentences: a consistent reading pattern.

Purpose: The main purpose of this study was to investigate to what extent the L2 Arabic learners' reading process is affected by the incomplete representation of speech (the absence of short vowels and diacritics) while reading ambiguous sentences (garden path sentences). Method: With a self-paced reading software program, 41 non-native male students, aged from 22 to 26, enrolled in King Saud University, participated in reading 44 sentences (followed by reading comprehension questions) representing three reading conditions, plain, vowelized-discretized, and wrongly-vowelized. Results: For the reading times data, the analysis revealed that the GP structure had a significant effect on the reading processes of L2 Arabic learners; it took them longer to read the GP sentences than their non-GP counterparts. For the reading comprehension, the analysis did not reveal any significant differences between the means for the percentages of correct responses. For the comparison between the three reading conditions, a significant difference was found: it took the participants on average less time to read the GP sentences when presented plain, and more time with the incorrect representation. However, their reading comprehension was not affected. Conclusion: In addition to the good-enough model and the nature of Arabic morphology, the reading experience, is a good candidate to start with as an important factor in the interpretation of the ineffectiveness of the GP structure on the reading comprehension process of Arabic readers, in which the segregability of Arabic writing system prepare the readers to emphasize some sensory inputs and ignore others based on their past reading experience.

Comparison of Peyton's Four-Step Approach With the Conventional Bedside Technique in Teaching Clinical Examination Skills to Medical Students.

BACKGROUND:  Conventional bedside teaching (CBT) is an integral and classical method for imparting clinical skills to undergraduates in medical schools. It is a traditionally successful approach, especially when it comes to imparting patient-doctor relationship skills and knowledge on clinical management. Peyton's four-step approach (PFSA) is one of the newer structured instructional approaches for teaching-learning, especially for imparting procedural and complex psychomotor skills. The present study compares the application of PFSA in teaching complex systemic examination skills to the CBT technique in teaching the same skill to MBBS students. The impact of the acquisition of this examination skill was assessed statistically to compare PFSA and CBT methodologies. METHODOLOGY:  The target population was MBBS (Bachelor of Medicine and Bachelor of Surgery) students; for this study, the phase II MBBS students were considered as the study population since they were relatively naïve to clinical bedside examination skills. Students were allotted groups and they were taught clinical skills through CBT and PFSA separately. Using the OpenEpi toolkit Version 3 open-source sample size calculator for comparing two means, the sample size was 30 students in each group. The students were assessed for their competency and were also made to fill out a feedback questionnaire to compare the two methods of education dispensing.  Results: The results of this study showed that PFSA is definitely suitable for teaching clinical examination skills. The acquisition of skills was found non-inferior to CBT while the retention of these skills was found to be equally good or even superior with PFSA than with CBT.  Conclusion: PFSA has already been proven to be a good teaching method for the acquisition of complex procedural skills. This study expands the role of PFSA in teaching clinical bedside examination skills to medical students. Further large-scale studies may clarify the learning impact and outcomes of PFSA in clinical bedside teaching.

Adding a Piece to the Puzzle? The Allocation of Figurative Language Comprehension into the CHC Model of Cognitive Abilities.

The study aimed to investigate the allocation of figurative language comprehension (FLC) within the Cattell-Horn-Carroll (CHC) model of cognitive abilities, using three newly developed tests: the Reverse Paraphrase Test (RPT), the Literal Paraphrase Test (LPT), and the Proverb Test (PT). The analysis of a sample of 909 participants revealed that the RPT and LPT measured a unidimensional construct of FLC, while the PT was excluded due to insufficient fit. Combining RPT and LPT items, various models were evaluated, with a bifactor S-1 model showing the best fit, indicating the influence of a general factor (representing FLC) and test-specific method factors. The study explored FLC allocation within the CHC model, supporting its consideration as a distinct factor under the g factor. Examining the nomological network, significant correlations emerged between the Intellectual Curiosity and Aesthetic Sensitivity facets of Openness and FLC, which were comparable in size to the relation with general ability. In conclusion, the study enhances the understanding of FLC within the CHC model, advocating its recognition as a distinct factor. Correlations with Openness facets suggest valuable insights into the interplay between cognitive abilities and personality, necessitating further research for a deeper exploration of this relation.

A predictive coding model of the N400.

The N400 event-related component has been widely used to investigate the neural mechanisms underlying real-time language comprehension. However, despite decades of research, there is still no unifying theory that can explain both its temporal dynamics and functional properties. In this work, we show that predictive coding - a biologically plausible algorithm for approximating Bayesian inference - offers a promising framework for characterizing the N400. Using an implemented predictive coding computational model, we demonstrate how the N400 can be formalized as the lexico-semantic prediction error produced as the brain infers meaning from the linguistic form of incoming words. We show that the magnitude of lexico-semantic prediction error mirrors the functional sensitivity of the N400 to various lexical variables, priming, contextual effects, as well as their higher-order interactions. We further show that the dynamics of the predictive coding algorithm provides a natural explanation for the temporal dynamics of the N400, and a biologically plausible link to neural activity. Together, these findings directly situate the N400 within the broader context of predictive coding research. More generally, they raise the possibility that the brain may use the same computational mechanism for inference across linguistic and non-linguistic domains.

Efficient Machine Reading Comprehension for Health Care Applications: Algorithm Development and Validation of a Context Extraction Approach.

BACKGROUND: Extractive methods for machine reading comprehension (MRC) tasks have achieved comparable or better accuracy than human performance on benchmark data sets. However, such models are not as successful when adapted to complex domains such as health care. One of the main reasons is that the context that the MRC model needs to process when operating in a complex domain can be much larger compared with an average open-domain context. This causes the MRC model to make less accurate and slower predictions. A potential solution to this problem is to reduce the input context of the MRC model by extracting only the necessary parts from the original context. OBJECTIVE: This study aims to develop a method for extracting useful contexts from long articles as an additional component to the question answering task, enabling the MRC model to work more efficiently and accurately. METHODS: Existing approaches to context extraction in MRC are based on sentence selection strategies, in which the models are trained to find the sentences containing the answer. We found that using only the sentences containing the answer was insufficient for the MRC model to predict correctly. We conducted a series of empirical studies and observed a strong relationship between the usefulness of the context and the confidence score output of the MRC model. Our investigation showed that a precise input context can boost the prediction correctness of the MRC and greatly reduce inference time. We proposed a method to estimate the utility of each sentence in a context in answering the question and then extract a new, shorter context according to these estimations. We generated a data set to train 2 models for estimating sentence utility, based on which we selected more precise contexts that improved the MRC model's performance. RESULTS: We demonstrated our approach on the Question Answering Data Set for COVID-19 and Biomedical Semantic Indexing and Question Answering data sets and showed that the approach benefits the downstream MRC model. First, the method substantially reduced the inference time of the entire question answering system by 6 to 7 times. Second, our approach helped the MRC model predict the answer more correctly compared with using the original context (F1-score increased from 0.724 to 0.744 for the Question Answering Data Set for COVID-19 and from 0.651 to 0.704 for the Biomedical Semantic Indexing and Question Answering). We also found a potential problem where extractive transformer MRC models predict poorly despite being given a more precise context in some cases. CONCLUSIONS: The proposed context extraction method allows the MRC model to achieve improved prediction correctness and a significantly reduced MRC inference time. This approach works technically with any MRC model and has potential in tasks involving processing long texts.

Reading Comprehension in the Arabic Diglossia: The SVR Between the Spoken and Literary Varieties.

This study aimed to examine the validity of the "simple view of reading" (SVR) model in the diglossic Arabic language. Using a longitudinal design, we tested whether decoding and listening comprehension (LC) in kindergarten can later predict reading comprehension (RC) in the first grade and whether the contribution of LC to RC differs between the spoken and literary varieties of Arabic. The participants were 261 kindergartners who were followed to the first grade. Our results from separate SEM analysis for the spoken and literary varieties revealed some similarity between the explained variance in the spoken (52%) and literary (48%) variety models. However, while the contribution of LC to RC was higher than the contribution of decoding in the spoken variety model, an opposite pattern was observed in the literary variety model. The results are discussed in light of the diglossia phenomenon and its impact on comprehension skills in Arabic, with theoretical and pedagogical implications.

Roles of Health Literacy in Relation to Social Determinants of Health and Recommendations for Informatics-Based Interventions: Systematic Review.

BACKGROUND: Health literacy (HL) is the ability to make informed decisions using health information. As health data and information availability increase due to online clinic notes and patient portals, it is important to understand how HL relates to social determinants of health (SDoH) and the place of informatics in mitigating disparities. OBJECTIVE: This systematic literature review aims to examine the role of HL in interactions with SDoH and to identify feasible HL-based interventions that address low patient understanding of health information to improve clinic note-sharing efficacy. METHODS: The review examined 2 databases, Scopus and PubMed, for English-language articles relating to HL and SDoH. We conducted a quantitative analysis of study characteristics and qualitative synthesis to determine the roles of HL and interventions. RESULTS: The results (n=43) were analyzed quantitatively and qualitatively for study characteristics, the role of HL, and interventions. Most articles (n=23) noted that HL was a result of SDoH, but other articles noted that it could also be a mediator for SdoH (n=6) or a modifiable SdoH (n=14) itself. CONCLUSIONS: The multivariable nature of HL indicates that it could form the basis for many interventions to combat low patient understandability, including 4 interventions using informatics-based solutions. HL is a crucial, multidimensional skill in supporting patient understanding of health materials. Designing interventions aimed at improving HL or addressing poor HL in patients can help increase comprehension of health information, including the information contained in clinic notes shared with patients.

Video Captioning and Subtitles in Second Language Listening Comprehension: Fast-Paced Versus Slow-Paced Speakers.

The present study examines the impact of implementing video captioning and subtitles on listening comprehension with special reference to the speaker's speed. A total of 64 undergraduate Saudi EFL learners were assigned into six groups: fast speaker with full captioning, fast speaker with subtitles, fast speaker with no captioning nor subtitles, slow speaker with full captioning, and slow speaker with subtitles, slow speaker with no captioning nor subtitles. Each group was instructed to watch a video in English under its assigned condition and then answered a listening test. Participants also answered a questionnaire to determine the impact of these conditions on their cognitive load. The results revealed that the group that viewed the video of slow speakers with a caption obtained the highest score on the listening comprehension test, followed by the group that viewed the video of fast speakers with a caption. The group that viewed no caption video of fast speakers obtained the lowest scores. The questionnaire analysis indicated that the students in the subtitle slow group reported using low mental effort, whereas the students in the caption fast group reported using very high mental effort followed by the students in the caption slow group who also reported using high mental effort.

First Language Lexical Attrition in a First Language Setting: A Multi-Measure Approach Testing Teachers of English.

Research on first language (L1) attrition typically focuses on immigrant populations in their second language (L2) environment, yet we know comparably little about L1 attrition in the L1 setting. This study used two lexical tasks to test L1 attrition, a time-sensitive word decision task and a video retelling. Chinese teachers of English vs. Chinese teachers of other subjects (N = 25/group) were recruited at a secondary school in China. The aim was to provide an exploratory basis of the L2 influence on L1 lexical attrition in the L1 environment, both on the level of lexical comprehension and production. Mixed-effects models were used to analyse multiple measures including response accuracy and reaction times in comprehension, and lexical diversity, density, sophistication, and accuracy in production. The results showed Chinese teachers' L1 lexical attrition in the form of longer response times to high-frequency Chinese words compared to non-English Chinese teachers, and the use of significantly fewer sophisticated words in their retellings. Also, teachers of English were faster and more accurate in decisions about Chinese borrowings from English, suggesting L2-driven influence on their mental lexicon. Considering participants' background information, analyses showed that increased L2 exposure and frequency of use can predict L1 lexical attrition.