The research team, led by Sevda Dolapcioglu with Yunus Emre Akbana, İlayda Uzun, and Gülten Koşar, used an exploratory qualitative design to capture the students’ experiences. Data were collected through a seven-item open-ended written questionnaire administered to 15 middle-school students who had received several years of formal schooling in Türkiye. The researchers then applied qualitative content analysis to identify recurring themes across the responses. This approach allowed the team to examine how returnee students experience the linguistic, academic, social, and psychosocial dimensions of re-entering an education system taught in a language they may read and speak at home but have rarely used for academic work.

One of the study’s central insights concerns the nature of bilingual development in displacement. Children who attend school in a host country typically develop strong conversational skills in the host language while their literacy in the home language may stagnate or develop unevenly. For Syrian students in Türkiye, this meant that everyday Turkish could be fluent while academic Arabic, the register required for science, mathematics, literature, and formal writing, remained underdeveloped. When these students returned to Syria, they faced textbooks, teacher explanations, and examinations conducted almost entirely in formal Arabic. The gap between conversational competence and academic language proficiency, a distinction long recognized in bilingual education research, became the central obstacle to their reintegration.

The content analysis revealed that the students’ struggles extended well beyond vocabulary. Participants reported difficulty with conceptual transfer, the process of carrying ideas and subject knowledge learned in one language of instruction into another. A student who understood a mathematical procedure in Turkish, for example, might struggle to name its components, follow an Arabic explanation, or reproduce the reasoning in written Arabic. Written production emerged as a particularly acute challenge, since formal Arabic demands different orthographic, grammatical, and rhetorical conventions than spoken dialects. The students also described in-class assessment practices that felt unfamiliar and, in their perception, unclear, compounding the sense that their prior learning did not translate directly into success in the new system.

Crucially, the study argues that these difficulties cannot be attributed to individual deficits alone. The researchers found that the students’ challenges were shaped by a web of structural factors: uneven Arabic literacy development, curriculum misalignment between the Turkish and Syrian systems, pedagogical practices that participants perceived as more teacher-directed than the instruction they had experienced in Türkiye, limited peer interaction in the new classrooms, and assessment practices that students found hard to interpret. In other words, the mismatch was systemic. The curriculum, the teaching style, the social dynamics, and the evaluation methods all changed at once, and no bridging mechanism existed to help students navigate the transition.

The psychosocial dimension added another layer of complexity. Participants described re-migration-related distress, difficulty concentrating in class, and increased family responsibilities that competed with their studies. Return migration, even when voluntary and long-awaited, is itself a stressful life event. Families often return to communities that have changed, to homes that may be damaged, and to economic uncertainty. For adolescents, these pressures arrive at precisely the moment when academic demands intensify. The study’s findings indicate that psychosocial strain and academic struggle reinforce each other, making it harder for students to engage with the very linguistic and curricular challenges they face.

By conceptualizing return as a distinct educational phase, the researchers contribute to broader discourses on refugee education and bilingualism. Most existing research examines refugee students’ adaptation in host countries, following their progress as they learn a new language and adjust to a new curriculum. The reintegration phase after voluntary return has remained underexplored, and this study helps fill that gap. The Turkish case is significant because Türkiye hosted one of the largest Syrian refugee populations in the world, and hundreds of thousands of students passed through Turkish schools. As returns accelerate, the question of how these children re-enter Arabic-medium schooling becomes a matter of educational policy with implications far beyond a single border.

The implications the authors draw are concrete. They underscore the critical need for academic Arabic bridging programs that explicitly target the register of schooling rather than everyday conversation. They call for background-sensitive assessment frameworks that take a student’s prior schooling into account rather than measuring them against peers who never left the system. They advocate psychosocially responsive pedagogies that recognize the emotional weight of return, and school-based psychosocial support services that address distress before it undermines learning. Each recommendation follows directly from the themes that emerged in the content analysis, giving the findings practical weight for ministries, schools, and teachers working with returnee populations.

For the international education community, the study reframes a common narrative. The story of refugee education is usually told as a one-way journey of integration into a host society. This research shows that the return leg of that journey deserves equal attention, and that linguistic recovery is not automatic simply because a child is going back to a country where the official language matches their heritage. Academic language is learned in classrooms, through sustained instruction and literacy practice, and years spent in another language of instruction create real gaps that persist after the return flight lands. Recognizing return as its own educational transition, with its own pedagogical demands, is the first step toward designing support that actually works.

The study also carries a message about how educational systems measure success. When a returnee student underperforms on an Arabic examination, the easy interpretation is that the student failed to keep up. The evidence from this research points in the opposite direction: the students arrived with valuable multilingual resources and prior academic knowledge, but the receiving system offered no structured pathway for those assets to transfer. The struggles documented here reflect institutional and contextual mismatches rather than individual shortcomings. As voluntary returns continue, the researchers’ call for bridging programs, sensitive assessment, and psychosocial support offers a blueprint for turning a hidden challenge into a manageable transition, one classroom at a time.

Subject of Research: Linguistic and academic re-adaptation of Syrian returnee students to Arabic-medium schooling after voluntary return from Türkiye

Article Title: The hidden challenges of return migration: Linguistic and academic re-adaptation of Syrian students to the Arabic Education System

Article References: Dolapcioglu, S., Akbana, Y. E., Uzun, İ., & Koşar, G. (2026). The hidden challenges of return migration: Linguistic and academic re-adaptation of Syrian students to the Arabic Education System. PLOS One, 21(10), e0361042. https://doi.org/10.1371/journal.pone.0361042

Image Credits: AI Generated

DOI: 10.1371/journal.pone.0361042

Keywords: return migration, Syrian students, refugee education, academic Arabic, bilingualism, Türkiye, PLOS One, qualitative study, educational reintegration, psychosocial support, curriculum misalignment, language proficiency

The first strand of evidence comes from toddlers in South Africa who were exposed to tobacco or alcohol before birth. Scholten and colleagues used diffusion tensor imaging, a technique that tracks the movement of water molecules through brain tissue to measure the integrity of white matter pathways, in 93 children aged two to three years. Surprisingly, children with prenatal substance exposure scored just as well as unexposed peers on standard language assessments. Yet their brains told a different story. The exposed toddlers showed lower mean diffusivity in the splenium of the corpus callosum, a major bundle of fibers connecting the brain’s hemispheres, and the relationship between white matter properties and language scores was altered across seven tracts. In exposed children, fractional anisotropy, a marker of fiber organization, showed more positive links with language, while mean diffusivity showed more negative ones, suggesting that prenatal exposure may reshape how white matter supports linguistic processing, possibly through premature maturation or compensatory reorganization.

The significance of this finding lies in the dissociation between brain and behavior. Neural differences were detectable even though no behavioral language deficits were present. That means neuroimaging may be able to flag subtle alterations in developmental trajectories before they surface as measurable delays, opening a window for intervention when the brain is at its most plastic. For clinicians, this is a powerful argument for using brain-based measures to identify children who could benefit from early support even when conventional assessments look reassuring.

Experience, too, leaves its mark on the young brain. Cook and colleagues examined how early bilingual exposure shapes prefrontal organization during cognitive control. Using functional near-infrared spectroscopy, which measures changes in blood oxygenation as a proxy for neural activity, they compared 13 bilingual and 13 monolingual preschoolers performing an interference suppression task. Behaviorally, the two groups were indistinguishable in both accuracy and reaction time. But the pattern of brain activity diverged. Bilingual children showed more localized prefrontal connectivity with reduced activation in key decision-making regions, a pattern the authors interpret as greater neural efficiency. The constant practice of switching between two languages, the findings suggest, may refine executive control circuits even before any behavioral advantage becomes apparent, demonstrating that language experience itself acts as a sculptor of functional brain networks.

While structural and functional imaging reveal how biology and experience shape the brain’s hardware, language learning ultimately unfolds in social contexts. Eulau and Hirsh-Pasek synthesized decades of behavioral research with emerging neuroimaging to show how caregiver-child interaction builds linguistic and cognitive development. Their review traces an arc from classic work on joint attention to modern hyperscanning studies, in which the brain activity of two interacting people is recorded simultaneously. The timing of caregiver responses turns out to be critical. Infants show enhanced brain responses to verbal input delivered within 300 to 400 milliseconds, and caregiver responsiveness within roughly two seconds supports symbol-referent mapping. When a toddler gazes at or picks up an object, a caregiver who labels that object within this narrow window allows the child to bind the word to the object while it still dominates their multisensory attention.

The review’s boldest claim is that social contingency shapes development well beyond language. Dual-recording studies show that caregiver-child neural synchrony during interaction predicts not only language outcomes but also attention, emotion regulation, and problem-solving. Infants whose caregivers track their attentional focus more precisely show enhanced sustained attention, and preschoolers who solve problems cooperatively with caregivers display increased prefrontal synchrony linked to better performance. Synchrony measures add value that behavior alone cannot capture: they operate at sub-second timescales, reveal which specific behaviors activate or dampen neural responses, provide genuinely dyadic rather than individual-level data, and illuminate interdependencies between constructs like attention and language. The picture that emerges is of a socially gated brain, one whose developmental trajectory is calibrated by contingent, precisely timed exchanges with caregivers.

Can neural measures also predict which children are at risk for language difficulties? Chen and colleagues addressed this question with magnetoencephalography, a technique that records magnetic fields generated by brain activity with millisecond resolution. They studied 30 three- and four-year-olds with an elevated likelihood of intellectual disability or developmental delay, using a passive auditory task that required no active participation. Evaluable data were obtained from 23 children, a 77 percent success rate in a notoriously difficult population, thanks to the researchers’ MEG-PLAN protocol. The key measure was the M50 response, an early cortical evoked response reflecting the speed of auditory encoding in the brain’s auditory cortex.

The results were striking. Longer M50 latencies in the left hemisphere, indicating slower auditory processing, predicted lower language scores. Crucially, the marker predicted language specifically, not general cognitive ability, pointing to domain-specific relevance. The left auditory cortex matures more slowly than the right throughout development, and this protracted maturation may be especially sensitive to factors that affect language. The findings extend earlier work in older children with autism and minimal verbal abilities, showing that auditory cortex response latencies can forecast language outcomes even in very young children at developmental risk. Because the task is passive, it can be deployed across a wide range of ability levels, making it a realistic candidate for clinical translation.

Taken together, the studies converge on three themes that define the current landscape of developmental language neuroscience. First, neural measures reveal risk and mechanism before behavioral deficits emerge: altered brain-language relationships in exposed toddlers, reorganized prefrontal networks in bilingual preschoolers, and predictive auditory latencies in at-risk children all appeared alongside normal or equivalent behavioral performance. Second, multiple imaging modalities provide complementary insights. Diffusion MRI maps the structural wiring that constrains or enables function, MEG captures the millisecond timing of auditory processing, task-based fNIRS tracks how brain regions coordinate during live cognitive challenges, and dual-recording fNIRS and EEG measure the interactive, dyadic processes that single-brain recordings cannot. Researchers now strategically match the technique to the question rather than relying on any single tool. Third, social and biological factors interact rather than compete. Prenatal exposures alter the structural substrate, bilingual experience reshapes functional networks, contingent caregiving sculpts neural synchrony, and individual differences in neural processing predict outcomes even against a backdrop of genetic and biological risk. Effective intervention, the authors argue, must address all of these as interacting components of one developmental system.

Challenges remain. Sample sizes in developmental neuroimaging are small, as the 26-participant bilingual study and the 23 evaluable MEG participants illustrate, and multi-site collaborations with data sharing will be needed to build adequately powered datasets. Accessibility and representativeness are also concerns: neuroimaging research remains concentrated in well-resourced settings, and most samples do not reflect global diversity, although the South African toddler study marks valuable progress. Bilingualism research, meanwhile, must grapple with the heterogeneity of bilingual populations, including language pairs, age of acquisition, proficiency, and cultural context. Translating neural markers like M50 latency into clinical tools will require prospective longitudinal studies to confirm whether they predict later outcomes and whether interventions can modify both the neural measure and the behavioral trajectory. Finally, the field must move toward integrated, multi-measure approaches with standardized protocols, shared analysis pipelines, and rich behavioral and environmental data. If that happens, the promise of this research is profound: detecting the earliest neural signatures of language risk and harnessing the power of contingent social interaction to keep every young mind’s wiring on course.

Subject of Research: Neural correlates of language development in early childhood

Article Title: Editorial: Wiring the young mind: neural correlates of language development in early childhood

Article References: Mathur, A., & Wang, Y. (2026). Editorial: Wiring the young mind: neural correlates of language development in early childhood. Frontiers in Integrative Neuroscience, 20, Article 1941106. https://doi.org/10.3389/fnint.2026.1941106

Image Credits: AI Generated

DOI: 10.3389/fnint.2026.1941106

Keywords: language development, developmental neuroscience, diffusion tensor imaging, magnetoencephalography, fNIRS, bilingualism, prenatal substance exposure, neural synchrony, caregiver interaction, white matter, auditory processing, early intervention

The answer, according to a team spanning South Africa, France and the United States, appears to be yes, at least in part. Kyle Seakgwa of the University of the Western Cape, Sharon Peperkamp and Emmanuel Chemla of the Laboratoire de Sciences Cognitives et Psycholinguistique in Paris, and Derrin Pinto and Donny Vigil of the University of St Thomas in Minnesota, found that people who grew up speaking languages with phonemic clicks, such as Zulu or Xhosa, are better than monolingual English speakers at spotting paralinguistic clicks buried in English speech. The advantage is modest, and it emerges only under specific conditions, but its very existence offers a rare window into how linguistic experience shapes auditory perception in ways that go far beyond vocabulary and grammar.

To understand why this matters, it helps to distinguish the two kinds of clicks that linguists study. Phonemic clicks are full-fledged consonants in a small number of languages, estimated at roughly 0.5 percent of the world’s languages, nearly all of them in Africa. These sounds are acoustically and articulatorily complex: they involve a double place of articulation, with constrictions at both the front and back of the mouth held simultaneously, and they rely on a non-pulmonic airstream mechanism in which the tongue creates a vacuum and the release of the front constriction produces a characteristic popping or suction noise. Anyone who has listened to Xhosa or Zulu knows how salient these consonants are; they leap out of the speech stream even to untrained foreign ears.

Paralinguistic clicks are a different beast. They occur in many, perhaps all, languages, but they are not part of any phonemic inventory. Phonetically, they lie outside ordinary consonant systems; grammatically, they are not integrated into morphology or syntax; and semantically, they carry a narrow range of meanings, often tied to emotion or discourse management. A dental click in English can signal disapproval, while a click at the start of an utterance can mark that the speaker is searching for a word or launching a new sequence of talk. Researchers have documented such clicks in English, Spanish, French, German, Hebrew, Russian, Swedish and Mandarin Chinese, typically articulated with the tongue tip against the alveolar ridge or teeth, with a simultaneous velar closure. Less common variants include bilabial clicks, similar to blowing a kiss, and lateral clicks resembling the sound some cultures use to urge on a horse.

Despite their ubiquity, paralinguistic clicks are astonishingly hard to detect consciously. In a 2020 study, Vigil and Pinto showed native English speakers pairs of short video clips of semi-spontaneous speech, one containing a search click and one in which the click had been digitally silenced. Participants were asked whether they noticed any difference in the speaker’s oral expression and, if so, to report the timestamp. They succeeded in fewer than 20 percent of cases, a figure the authors argued was below chance. The result was puzzling because paralinguistic clicks are acoustically prominent: they typically occur during pauses and stand out against low-salience fillers like “um.” If listeners cannot hear such a conspicuous sound, something interesting must be happening in the perceptual system.

The new study set out to test whether speakers of click-using languages, which the researchers abbreviate as CU languages, show heightened sensitivity to these sounds. The team administered the same click detection task online, using the identical stimuli and procedure as the original experiment. Eight video clips of nine to ten seconds each, drawn from a scientific presentation by a native American English speaker, were paired so that one clip contained a paralinguistic search click and the other had the click silenced. Four additional distractor pairs contained no clicks at all. Participants watched each pair, separated by a five-second interval, indicated whether they perceived a difference, and if so reported the timestamp of that difference. Crucially, the click removal happened only in the audio track, a detail participants were deliberately not told.

The first experiment recruited 118 monolingual English speakers from the United States through the online platform Prolific, with the design and analyses pre-registered in advance. The researchers refined the original study’s statistical approach in two ways. First, they adopted a more stringent chance level of about 17 percent, reasoning that a participant has roughly a one-in-two chance of claiming any difference exists and approximately a one-in-three chance of landing the timestamp within one second of the click in a nine-to-ten-second clip. Second, they used bootstrapping with 1,000 resamples to estimate 95 percent confidence intervals, allowing a principled assessment of how plausible the null hypothesis really is. A detection was counted as timely only if the participant both correctly reported a difference and placed it within one second of the click.

The English speakers’ performance was strikingly poor. Mean timely detection on target items was just 11 percent, even lower than the 17.4 percent reported in the original classroom-based study, and statistically indistinguishable from the stringent chance level in both the opening condition, where clicks began a sentence, and the mid condition, where they appeared mid-sentence. Accuracy was also lower than in the original study for sentence-initial clicks, which the authors suggest may reflect the challenges of online testing compared with a controlled classroom setting. Yet the picture was not entirely bleak. The confidence interval for timely detections did not include zero, participants reported more differences in target pairs than in distractor pairs, and they described hearing the presence or absence of a click-like sound only in response to target pairs. The researchers conclude that English speakers’ capacity to detect paralinguistic clicks is weak, but not null.

The second experiment turned to South Africa, where Prolific offers no direct filtering by click language, so participants were initially selected as South-born and resident English-speaking multilinguals. Of 124 people tested, 54 reported speaking at least one CU language and were included in the analysis: 46 spoke Zulu, 16 Xhosa, 14 Sotho, 9 Swati and 3 Ndebele, with 27 speaking two or more of these languages. Using the same stimuli and procedure, these participants again showed overall low detection rates, performing no better than chance on sentence-medial clicks. But on sentence-initial clicks, their performance was significantly better than that of the monolingual English speakers, and their responses showed a clearer separation between target and distractor pairs, including click mentions that were entirely absent from distractor trials.

Why would the advantage be confined to clicks at the beginning of sentences? The researchers offer a tantalizing hypothesis rooted in phonology: click consonants in CU languages tend to appear at the beginning of words, so speakers of these languages may have tuned their attention to the positions where clicks are most likely to occur. The broader implication is that the presence of phonemic clicks in a person’s native language yields a perceptual advantage for non-linguistic clicks, at least when listening to a language the person speaks as a second language. The effect is small, and it survived despite an adversarial online setting and short stimuli, which makes its detection all the more notable.

Many questions remain. The team used only search clicks embedded in emotionally neutral speech, leaving open whether stance clicks in emotive-laden speech would be easier to catch. Audiovisual stimuli were chosen to prevent confusion between clicks and mouse clicks, yet audio-only presentation might make detection easier, as one study of the filler “um” suggests. And because all participants listened to English, a language they all knew, the researchers cannot rule out that detection would improve in an unknown language, where clicks are known to be highly salient even to listeners who speak nothing like them. What the study establishes is that the sounds we learn to treat as meaningful consonants reshape how we parse the incidental noises of conversation. In roughly half a percent of the world’s languages, clicks do grammatical work; everywhere else, they whisper at the edges of meaning. This research shows that where clicks live in a language determines, quite literally, what the ear learns to hear.

Subject of Research: Cross-linguistic differences in the auditory detection of paralinguistic click sounds in conversation

Article Title: Cross-linguistic variation in the detection of conversational click sounds

Article References: Seakgwa, K., Peperkamp, S., Pinto, D., Vigil, D., & Chemla, E. (2026). Cross-linguistic variation in the detection of conversational click sounds. Frontiers in Language Sciences, 5, Article 1932401. https://doi.org/10.3389/flang.2026.1932401

Image Credits: AI Generated

DOI: 10.3389/flang.2026.1932401

Keywords: click languages, paralinguistic clicks, phonemic clicks, cross-linguistic perception, Zulu, Xhosa, speech perception, bilingualism, psycholinguistics, phonetics, discourse markers, auditory detection

PPA is a rare but profound disorder in which language deteriorates progressively due to the death of brain cells in regions responsible for speech and comprehension, typically without the memory collapse seen early in classic Alzheimer’s disease. Since the landmark consensus criteria published by Gorno-Tempini and colleagues in 2011, clinicians worldwide have recognized three canonical variants: the non-fluent or agrammatic form (nfvPPA), marked by halting, effortful speech and broken grammar; the semantic variant (svPPA), in which word meaning itself dissolves; and the logopenic variant (lvPPA), characterized by impaired word retrieval and repetition. But a provocative new perspective article, published in Frontiers in Language Sciences by Mohamed Taiebine of the Euro-Mediterranean University of Fez in Morocco, argues that this entire diagnostic edifice rests on a hidden assumption—one that quietly fails the vast majority of humanity.

The problem, Taiebine contends, is that the world hosts approximately 7,168 living languages, yet English has become the absolute lingua franca of scientific research. Diagnostic tools, brain-imaging norms, and linguistic benchmarks have been built almost exclusively around English speakers—often from Western, Educated, Industrialized, Rich, and Democratic (WEIRD) populations. When these instruments are merely translated into other languages, they frequently lose their validity, because translation cannot capture the unique psycholinguistic, sociolinguistic, and cultural properties of the target language. A test designed to probe English syntax may be meaningless for a speaker of Arabic, Turkish, or an agglutinative language where meaning is packed into morphological suffixes rather than word order.

The consequences are not abstract. Screening tools rarely account for the nuances of non-dominant languages in bilingual and multilingual populations, which means early signs of decline can be missed entirely. The first symptoms of PPA often surface in the most deeply embedded, natural registers of a patient’s speech—the home dialect, the mother tongue—precisely the structures that standardized tests are least equipped to examine. In diglossic societies, where people use one variety of a language at home and another in formal settings, the disease may strike these registers disproportionately, eroding one while sparing the other. A patient might retain their first language while losing a second, or vice versa, complicating any assessment that assumes a monolingual baseline.

To address this, Taiebine proposes a radically multidimensional framework that maps PPA across six interconnected pillars: typological (the structural diversity of the patient’s language), topological (the specific brain regions undergoing atrophy), hodotopic (the location of language functions within brain networks), hodological (the integrity of white-matter tracts connecting those regions), biological (the underlying proteinopathies such as tau or TDP-43), and psychosocial (the environmental and cultural context). The idea borrows from the Research Domain Criteria (RDoC) model originally developed for psychiatry, which abandons rigid diagnostic categories in favor of dimensions that span molecules, circuits, and behavior. Applied to PPA, this means a diagnosis would integrate not just which brain areas are shrinking, but how the patient’s particular linguistic system is wired into those areas.

This matters because the brain’s language architecture is not language-neutral. The hodological level—the wiring—illustrates the point vividly. In classic conduction aphasia and in the logopenic variant of PPA, damage often involves the dorsal pathway, including the superior longitudinal fasciculus and the arcuate fasciculus, the fiber bundles connecting speech production and comprehension regions. But for a bilingual speaker of an understudied language, Taiebine hypothesizes, a repetition deficit might reflect network interference between languages rather than the classic arcuate fasciculus breakdown seen in monolinguals. He is careful to flag that such neuroanatomical correlations remain speculative and require far more investigation in speakers of understudied languages—yet the very possibility exposes how Anglo-centric assumptions could lead clinicians astray, misattributing dialect-specific vocabulary loss to general memory decline rather than focal language breakdown.

The framework also intersects with a broader scientific revolution already underway. Artificial intelligence and machine learning are transforming PPA diagnosis by analyzing connected speech—the natural, flowing language patients produce—rather than relying solely on structured tests. Large language models can identify natural clusters within patient speech that align with independent clinical diagnoses, and a machine-learning system called NeuroScreen has achieved up to 91 percent accuracy in classifying PPA and its variants by differentiating neurological conditions through language analysis. AI is even being applied to neural assessment through EEG and cortical speech envelope tracking, offering objective measures of language network plasticity. Crucially, Taiebine argues that this same technology could become the great equalizer: rather than translating thousands of tests into thousands of languages, AI and large language models could offer a scalable, low-cost pathway to map dialectal nuances directly, detecting subtle acoustic markers of motor-speech disorders across multilingual clinical settings.

Existing tools point the way forward, even as they reveal the scale of the gap. The Mini Linguistic State Examination (MLSE) has emerged as a pivotal brief screening instrument, evaluating five core domains—motor speech, phonology, semantics, syntax, and verbal working memory—through eleven subtests in roughly fifteen to twenty minutes, with cross-linguistic validity demonstrated in more than twenty languages. A newly developed web-based version promises automated scoring, potentially reducing clinician burden and standardizing diagnostic profiling across international trials. Yet its automated scoring currently remains restricted to English. In parallel, the Dépistage Cognitif de Québec (DCQ), validated in French, English, and Spanish, screens for atypical dementias including PPA and covers social cognition alongside language—a notable exception that still reaches only a fraction of global language families. As an interim measure, Taiebine suggests pairing these tools with the Bilingual Aphasia Test (BAT), which can document a patient’s sociolinguistic history, age of language acquisition, and dialect usage patterns before any standardized assessment is administered, thereby attenuating bias at the intake stage.

The article is equally candid about the limits of its own proposal. The interaction between specific linguistic structures and PPA pathology is strongly motivated by theoretical linguistics, but empirical evidence across all minority language populations is still emerging. Establishing typologically informed frameworks—prioritizing, for example, tonal variance in tonal languages or agglutinative morphology in Arabic rather than literal translations of English syntactic structures—will require rigorous, ongoing cross-linguistic normative research. The author calls for shared, open-access repositories of diverse speech samples and normative cross-linguistic data, so that clinicians and researchers worldwide can build assessments grounded in the actual linguistic reality of their patients rather than in borrowed norms.

What elevates this argument beyond technical reform is its framing as a matter of cognitive rights. Linguistically fair screening, Taiebine writes, is not merely a clinical improvement but a profound commitment to the dignity of diverse populations—a blueprint for an aphasiology in which the depth of a patient’s linguistic identity enhances, rather than hinders, the accuracy of their diagnosis and their quality of life. As dementia rates rise globally and populations age across every continent, the question is no longer whether the world’s languages deserve a place in the neurology clinic, but whether the science of the brain can finally catch up to the dazzling diversity of the minds it seeks to heal.

Subject of Research: Linguistically fair screening and transdiagnostic assessment of primary progressive aphasia in understudied and minority languages

Article Title: Toward linguistically-fair screening and assessment of primary progressive aphasia: a transdiagnostic approach for understudied and minority languages

Article References: Taiebine, M. (2026). Toward linguistically-fair screening and assessment of primary progressive aphasia: a transdiagnostic approach for understudied and minority languages. Frontiers in Language Sciences, 5, Article 1782730. https://doi.org/10.3389/flang.2026.1782730

Image Credits: AI Generated

DOI: 10.3389/flang.2026.1782730

Keywords: primary progressive aphasia, aphasia screening, minority languages, transdiagnostic framework, Research Domain Criteria, bilingualism, diglossia, artificial intelligence, machine learning, neurodegeneration, cross-linguistic assessment, health equity

Kelly Kendro and Alexander J. Holmberg of Northern Arizona University focus their attention not on the target words themselves, but on the words that surround them in experimental tasks. In semantic priming studies, researchers present participants with a prime word followed by a target, measuring whether the prime speeds recognition of the target. When studying second-language vocabulary, primes are often drawn from the participant’s first language while targets come from the second. The conventional wisdom holds that if you control for obvious confounds, such as whether the prime and target look or sound alike across languages, any remaining speedup reflects genuine semantic priming. Kendro and Holmberg contend that this logic has a hidden flaw: the semantic relatives of a target word can themselves be cognates, and nobody has been systematically checking.

The mechanism at play is spreading activation, a foundational concept in cognitive psychology dating back to the classic network models of the 1970s. When a person processes a word, activation radiates outward to semantically related concepts, pre-activating them and making subsequent recognition faster. In a bilingual lexicon, however, this activation does not respect language boundaries. Decades of research, from early work on cognate recognition to eye-tracking studies showing covert activation of the non-target language, have established that both of a bilingual’s lexicons remain active even when only one language is in use. If a prime word in the first language is a cognate of a word that is semantically related to the second-language target, it can trigger a cascade of activation that boosts the target through a back door, inflating apparent priming effects for reasons that have nothing to do with the semantic relationship the researcher intended to measure.

Consider a concrete scenario. An English-Spanish bilingual sees the Spanish prime “médico” (doctor) followed by the English target “nurse.” Suppose “médico” happens to resemble an English cognate that is itself semantically linked to “nurse.” The prime activates its English look-alike, that look-alike spreads activation to related English concepts, and the target benefits from a head start that masquerades as crosslinguistic semantic priming. The authors note that prior research has already shown cognate synonyms can complicate word learning and that cognate status shapes facilitation in vocabulary assessment, yet stimulus-selection procedures in L2 priming research have rarely screened for this dimension in the semantic neighborhood of the target.

To close this gap, the tutorial lays out a seven-step procedure that researchers can apply to any crosslinguistic target pair. The workflow begins by establishing the semantic similarity between the prime and the target, since priming studies fundamentally depend on related pairs being genuinely related. The authors suggest embedding-based measures, including sentence-transformer models derived from the BERT architecture, while noting that researchers who prefer distributional approaches such as word2vec can substitute their own tools. From there, the procedure moves to the heart of the problem: identifying whether the prime or its translations share cognate status with words in the target’s semantic neighborhood.

Quantifying cognate status requires measuring form similarity across languages, and the tutorial draws on well-established computational machinery. Orthographic overlap can be estimated with Levenshtein edit distance, the count of character insertions, deletions, and substitutions needed to transform one string into another, an approach with a long history in predicting intelligibility and perceived linguistic distance between languages. Phonological similarity can be assessed by converting words to phonetic transcriptions using grapheme-to-phoneme tools such as Epitran before applying distance measures, which matters because two words may look different but sound alike. The authors also recommend consulting large-scale cognate databases such as CogNet, which catalogs etymologically related word pairs across thousands of languages, and crosslinguistic neighborhood resources like CLEARPOND that quantify how many similar-sounding and similar-looking words surround a given item in each language.

Etymology introduces its own complications. Words can descend from a common ancestor yet drift so far apart in meaning that they no longer co-activate each other’s lexical representations, a phenomenon the authors flag with reference to prior work on crosslinguistic lexical influence. Conversely, loanwords borrowed directly between languages may look alike without deep shared history. The tutorial therefore treats etymological relatedness as one signal among several rather than a verdict in itself, and the accompanying database-cleaning scripts accommodate languages where certain checks, such as gender agreement in German, need modification or omission.

To make the procedure practical rather than merely prescriptive, Kendro and Holmberg provide working Python code that automates much of the screening. The pipeline integrates the deep-translator module, which interfaces with Google Translate, chosen for its broad language coverage and ease of integration, though the authors explicitly welcome researchers to substitute alternative translation services and allow manual entry when multiple translations exist. Word frequency estimates, which matter because frequency modulates both lexical access and cognate facilitation, are drawn from the wordfreq library, which aggregates frequency data from many corpora. The code then computes semantic similarity, form similarity, and cognate status for each candidate pair, flagging items where hidden cognate activation could contaminate the intended manipulation. The authors demonstrate the full workflow on a sample set of English-Spanish items, showing how pairs that appear clean on the surface can fail screening once the semantic neighborhood is examined.

The broader significance of this work extends beyond any single experiment. Large lexical databases such as the English Lexicon Project, the British Lexicon Project, and the Spanish SPALEX database have standardized how researchers control for word frequency, length, and prevalence in monolingual studies, and word prevalence norms covering tens of thousands of English lemmas have sharpened estimates of how widely known a word actually is. But crosslinguistic research has lacked an equivalent guardrail for the interactions between a participant’s two lexicons. Studies of individual differences in bilingual word recognition have shown that experiential factors and word frequency both modulate cross-language priming, and language dominance shapes how orthographic and phonological similarity play out in cognate recognition. If stimulus sets systematically contain unrecognized cognate confounds, effect sizes across the literature could be noisy in ways that no amount of statistical control after the fact can fully repair.

The tutorial arrives at a moment when replication concerns have pushed psycholinguistics toward more rigorous stimulus validation, and its message is disarmingly simple: the words you did not choose can matter as much as the words you did. By screening for semantic similarity, orthographic similarity, phonological similarity, and etymological relatedness in a single automated workflow, researchers can rule out the possibility that a cognate synonym lurking in the prime’s neighborhood is doing the work that the experiment claims to measure. The code and materials are freely available through the Open Science Framework, lowering the barrier for labs working in any language pair to audit their stimuli. For a field whose theoretical claims about the bilingual mind rest on millisecond differences in recognition times, ensuring that those milliseconds reflect the process under study, rather than an accidental echo of a hidden twin word, is a small step in stimulus design with an outsized payoff for the validity of the science.

Subject of Research: Hidden cognate confounds in second-language lexical retrieval and semantic priming stimulus design

Article Title: Identifying hidden cognate effects in L2 lexical retrieval tasks: A tutorial for stimulus design

Article References: Kendro, K., & Holmberg, A. J. (2026). Identifying hidden cognate effects in L2 lexical retrieval tasks: A tutorial for stimulus design. Behavior Research Methods, 58(11), Article 324. https://doi.org/10.3758/s13428-026-03210-x

Image Credits: AI Generated

DOI: 10.3758/s13428-026-03210-x

Keywords: bilingualism, cognates, semantic priming, second language, lexical retrieval, psycholinguistics, stimulus design, spreading activation, orthographic similarity, Levenshtein distance, word recognition, Behavior Research Methods

Cognates are words that share both meaning and spelling across languages, such as the Dutch-English pair “school,” while non-identical cognates like Dutch “rivier” and English “river” share meaning but differ slightly in form. For decades, psycholinguists have observed that bilinguals recognize cognates faster than other words, a phenomenon known as cognate facilitation. The prevailing explanation held that this speed advantage arises because both languages activate their versions of the word simultaneously, sending converging signals to a single shared meaning. But whether this facilitation reflects a temporary surge of activation or a deeper structural change in the bilingual lexicon remained an open question.

Woumans and Duyck designed an elegant experiment to settle the matter. Sixty-nine Dutch-English bilinguals completed a visual lexical decision task, in which they judged whether letter strings on a screen were real words or not, across five consecutive days. On the first and fifth days, participants were tested in one language, either their native Dutch or their second language English. On the intervening days, they practiced the same task in the other language. Crucially, the word lists included identical cognates, non-identical cognates, non-cognate translation equivalents like “dog” and “hond,” matched control words, and non-words, allowing the researchers to tease apart the contributions of meaning and form.

The logic behind the design was straightforward. If cognate facilitation is driven purely by shared meaning, then translation equivalents, which share meaning but not form, should benefit from cross-language practice just as much as cognates do. If instead the effect depends on the similarity of word forms, then cognates should show a larger transfer of practice benefits across languages than translation equivalents. And if identical cognates share a single mental representation across languages, as some models propose, they should show a disproportionately large jump in performance that non-identical cognates cannot match.

The results told a clear story. Across all word types, participants got faster with practice, reflecting a general procedural learning effect. But when the researchers compared performance before and after practice in the other language, both identical and non-identical cognates showed significantly larger cross-linguistic transfer than translation equivalents or control words. Translation equivalents, despite sharing meaning with their counterparts in the practiced language, showed no additional benefit beyond the general practice effect. This pattern held for both reaction times and accuracy scores.

Perhaps most strikingly, the transfer effects for identical and non-identical cognates did not statistically differ from each other. If identical cognates truly shared a single structural representation in the bilingual lexicon, as the shared orthographic representation account predicts, they should have shown a much larger transfer than their non-identical counterparts. The fact that they did not suggests that the bilingual lexicon does not simply merge identical cognates into one entry but instead relies on graded cross-linguistic similarity effects that operate along tightly coupled orthographic and phonological processing pathways.

These findings challenge the idea that shared meaning alone can explain enduring cognate facilitation. While short-term priming studies have shown that translation equivalents can facilitate each other briefly within a single experimental session, the multi-day paradigm used here reveals that such semantic effects are transient and do not accumulate into lasting cross-linguistic benefits. Instead, the enduring transfer observed for cognates points to structural modifications within the bilingual lexicon that depend on the degree of form overlap between languages.

The authors acknowledge an important limitation: because Dutch and English share the same writing system, orthographic and phonological similarity are correlated in their stimuli, making it impossible to disentangle the two. Future research using cross-script language pairs or systematically varying orthographic and phonological consistency will be needed to determine whether the transfer effects observed here are driven by spelling, sound, or an interaction between the two.

Nevertheless, the study provides compelling evidence that the bilingual mind is not organized into separate language compartments but into a richly interconnected network where form similarity shapes how experience in one language reshapes processing in the other. For the millions of people who navigate multiple languages daily, the message is clear: every word you read in one language leaves a mark on how you will read its relatives in another.

Subject of Research: Cross-linguistic transfer of cognate facilitation in bilingual visual word recognition

Article Title: Enduring cognate facilitation: evidence for form-based transfer in bilingual word recognition

Article References: Woumans, E., & Duyck, W. (2026). Enduring cognate facilitation: evidence for form-based transfer in bilingual word recognition. Frontiers in Language Sciences, 5, Article 1792224. https://doi.org/10.3389/flang.2026.1792224

Image Credits: AI Generated

DOI: 10.3389/flang.2026.1792224

Keywords: bilingualism, cognate facilitation, lexical decision, orthographic representation, cross-language activation, psycholinguistics, word recognition, translation equivalents, Dutch-English bilinguals, form-based transfer, shared representations, language processing

The research, led by Qingwei Xue of Peking University together with colleagues at Beijing Language and Culture University, the Hong Kong Polytechnic University, and the Max Planck Institute for Human Cognitive and Brain Sciences, examined fifty-six Chinese–English bilinguals. Participants completed a cued picture-naming language-switching task, in which they named pictures in either their first language (L1, Chinese) or second language (L2, English) depending on the color of the picture’s frame, and a Simon task, a classic measure of cognitive control in which people must ignore a stimulus’s location and respond only to its color. The team then used linear mixed-effects modeling to ask whether the properties of individual words changed both switching behavior and its tie to general cognition.

The property in question is lexical imageability — how readily a word evokes a mental image. Words like “sit” score high; words like “dream” score lower. According to Dual Coding Theory and the bilingual lexical-access framework, highly imageable words are anchored in rich, shared conceptual representations that connect smoothly across languages, so they can be retrieved through direct conceptual mediation. Less imageable words, by contrast, lean more heavily on language-specific lexical routes — in effect, the L2 word may be reached indirectly through its L1 translation. The researchers reasoned that this difference in processing pathway could fundamentally change how much domain-general cognitive control a bilingual needs to recruit when switching languages.

The behavioral results bore this out in striking detail. Across the board, switch trials were slower than non-switch trials — about 1,194 milliseconds versus 1,103 milliseconds — confirming the familiar switch cost. But the shape of that cost differed dramatically depending on imageability. For relatively higher-imageability verbs, switch costs were statistically symmetrical: roughly 83 milliseconds in Chinese and 99 milliseconds in English, with no significant difference between the two. For relatively lower-imageability verbs, the pattern flipped into a classic asymmetry, with switch costs of about 103 milliseconds in the dominant L1 versus only 70 milliseconds in L2 — the larger L1 penalty that the Inhibitory Control Model traditionally attributes to the extra effort of suppressing and then releasing a strongly activated dominant language.

That asymmetry matters because it has long served as a fingerprint of bilingual control. When the dominant language is harder to switch into than the weaker one — the so-called reversed language dominance effect — researchers typically infer that the dominant language required stronger inhibition. The new findings suggest this fingerprint is not a fixed property of a bilingual brain but depends on the words being produced. When the lexicon offers sturdy, image-based conceptual bridges between languages, control demands even out. When those bridges are weak, the dominant language’s lexical network reasserts itself, and control becomes lopsided.

The connection to general cognition proved equally conditional. The Simon score — the reaction-time penalty incurred when a square’s location conflicts with the required response — correlated positively with switch costs, but only for relatively higher-imageability words. There, the correlation was robust (r = .454, p = .001): participants with poorer Simon-task performance showed larger language-switching costs. For relatively lower-imageability words, the correlation essentially vanished (r = .071, p = .622). In other words, the same bilingual could look strongly coupled to domain-general control on one set of words and largely decoupled on another, within the very same task.

The authors interpret this through the lens of adaptive control. Under the adaptive control hypothesis, bilinguals flexibly recruit cognitive control depending on task and contextual demands. The new data extend that idea inward, to the level of individual lexical items. When lexical access runs through shared conceptual representations — as it tends to for highly imageable words — the operations involved overlap more with the stimulus–response conflict resolution measured by the Simon task, producing a visible covariance between the two control systems. When lexical access depends more on language-specific lexical pathways, switching draws on processes that the Simon task simply does not index, and the correlation dissolves.

The study’s design choices reveal how carefully such effects must be isolated. Because nouns and verbs differ systematically in how imageability behaves — verbs show greater variability in imageability ratings (SD = 0.32 versus 0.23 for nouns) — the team restricted materials to 32 bilingual verbs drawn from a standardized naming battery, median-split into relatively higher- and lower-imageability groups that were carefully matched on name agreement, visual complexity, and word frequency. Familiarity differences were statistically controlled. Participants’ third-language experience, switching habits, and L2 proficiency were likewise entered as covariates, and log-transformed reaction times were analyzed with maximal random-effects structures for both participants and items.

The authors are candid about the limits of their conclusions. Because the picture-naming paradigm required all stimuli to be nameable from images, the materials spanned only a restricted imageability range, and neither item-level regression nor trial-level sensitivity analyses found a continuous linear relationship between imageability ratings and switching behavior — the effect emerged only under the categorical contrast. Imageability norms were also drawn from a separate bilingual sample rather than the participants themselves, and the Simon task captures only one slice of cognitive control, specifically stimulus–response conflict rather than the monitoring, updating, and selection processes that language switching may also recruit. The externally cued paradigm, moreover, cannot speak directly to the voluntary code-switching that dominates real bilingual life.

Even with those caveats, the implications are considerable. Bilingualism research has often treated lexical materials as interchangeable, attributing variability in language control to proficiency, interactional context, or linguistic level. This study adds a fourth lever: the intrinsic imageability of the words themselves. If the coupling between bilingual language control and cognitive control can be strengthened or severed by nothing more than the mental imagery a word evokes, then decades of apparently conflicting findings may partly reflect unmeasured differences in stimulus properties. For theorists, it is a reminder that the bilingual mind is not one control system but a dynamic negotiation between domain-general machinery and the specific words it must wrangle — and that the picture in a word’s meaning can redraw the entire map of how two languages compete for the tongue.

Subject of Research: How lexical imageability modulates bilingual language switching and its relationship with cognitive control

Article Title: Relative lexical imageability modulates the relationship between bilingual language control and cognitive control

Article References: Xue, Q., Zhang, Z., Liu, Y., Zhao, Y., & Chen, L. (2026). Relative lexical imageability modulates the relationship between bilingual language control and cognitive control. Current Psychology, 45(17), Article 1444. https://doi.org/10.1007/s12144-026-09908-7

Image Credits: AI Generated

DOI: 10.1007/s12144-026-09908-7

Keywords: bilingualism, language switching, cognitive control, lexical imageability, psycholinguistics, switch costs, Simon task, dual coding theory, lexical access, Chinese-English bilinguals, inhibitory control, Current Psychology

The review, led by Xinyu Liu of the University of Reading together with colleagues, examines decades of conflicting evidence on whether bilingualism changes how the mind works. Behavioral studies have long been split: some report that bilinguals outperform monolinguals on tasks measuring attention and conflict resolution, while others, including a large population study of more than 11,000 people, find no reliable advantage. The authors argue that reaction times and accuracy scores may simply be too blunt an instrument. Neural measures, they suggest, can detect experience-related changes in the brain even when bilinguals and monolinguals perform identically on a task, capturing adaptations that have not yet surfaced in observable behavior.

MEG works by detecting the vanishingly weak magnetic fields generated when neurons fire in synchrony. Because these signals arise directly from the electrical activity of postsynaptic currents rather than from the slower blood-oxygen responses that fMRI and fNIRS measure, MEG can track brain events on a millisecond timescale. It also offers something EEG lacks: source estimation procedures can infer which cortical regions generated the recorded signals, because magnetic fields are less distorted than electrical potentials by the varying conductivity of the skull. The result is a rare combination of exquisite timing and reasonable spatial precision, allowing researchers to watch the sequence of cortical recruitment unfold in real time.

The technique’s true power, the review emphasizes, lies in its ability to analyze neural oscillations, the rhythmic fluctuations of brain activity that fall into distinct frequency bands. Theta oscillations, cycling roughly four to eight times per second, have been linked to conflict monitoring and cognitive control. Alpha activity, at eight to thirteen hertz, is associated with attentional selection and the inhibition of irrelevant information, while beta rhythms appear to maintain ongoing cognitive states. By decomposing brain signals into these bands and measuring how activity in different regions becomes synchronized, MEG can reveal not just where control happens but how rapidly coordinating networks organize themselves, something hemodynamic imaging, which evolves over seconds, fundamentally cannot resolve.

When the authors turned to task-based MEG studies of bilingual language control, a striking picture emerged: the brain implements language control differently depending on whether we are speaking or listening. In a landmark study, switching languages during production recruited dorsolateral prefrontal cortex, the same region involved in non-linguistic switching, whereas switching during comprehension engaged the anterior cingulate cortex. Subsequent work showed that experimentally imposed switches produced greater prefrontal and cingulate activity than naturally occurring switches in conversation, and that in bimodal bilinguals who use sign and speech, control-related activity was tied primarily to disengaging from an active language rather than activating an additional one.

Timing also matters. In one study of twenty unbalanced Mandarin-English bilinguals, switching into the non-dominant language triggered increased activity in left inferior frontal cortex right after the language cue, interpreted as interference resolution during preparation, while naming in that language later elicited greater right inferior frontal activity, possibly reflecting inhibition of competing lexical items during production. Remarkably, a follow-up study showed that when participants were allowed to choose their language freely and name items consistently, behavioral switching costs shrank and the right frontal switching response disappeared altogether. The neural price of language control, in other words, depends heavily on whether the switch is imposed from outside or chosen from within.

Direct MEG evidence on bilingualism and domain-general executive functions, however, remains startlingly thin. The review identifies essentially a single published study comparing neurologically healthy bilingual and monolingual groups on a non-verbal control task: participants performed a Simon task while whole-head MEG was recorded. Cantonese-English bilinguals responded fastest overall, but crucially, the French-English bilingual group behaved identically to monolinguals in speed. Yet their brains told a different story. Faster responses in both bilingual groups were associated with greater activity across temporal, cingulate, and frontal regions, mostly in the left hemisphere, while monolinguals’ speed depended mainly on a single left middle frontal area. Two groups performing the same, building the same result from different neural machinery.

Resting-state MEG, which records spontaneous activity while participants simply lie still, extends this story beyond moments of task performance into the brain’s intrinsic organization. In one study of thirty-eight educated older adults, lifelong bilinguals showed stronger phase-based connectivity across five clusters of parietal and occipital connections, and the strength of each cluster correlated with the volume of the caudate nucleus, a subcortical structure implicated in language control. More recently, researchers recorded resting-state activity from twenty highly proficient Spanish-Basque bilinguals and twenty monolinguals and fed frequency-specific network measures into a machine-learning classifier. It distinguished the groups with 84.8 percent accuracy, driven mostly by beta and delta band network strength, which was lower in bilinguals and linked to higher second-language proficiency, a pattern the authors interpreted as more selective, efficient network organization.

These findings resonate with theoretical models of bilingual neuroplasticity. The Bilingual Anterior-to-Posterior and Subcortical Shift model proposes that as bilingual experience accumulates, the brain relies less on frontal control regions and increasingly recruits posterior and subcortical systems, a redistribution that resting-state MEG is well suited to test. The Unified Bilingual Experience Trajectories model goes further, proposing that neural adaptation varies with the duration, intensity, diversity, and switching demands of a person’s language use. Because MEG can regress both task-evoked dynamics and intrinsic connectivity against detailed profiles of bilingual experience, the review argues it could put these experience-dependent predictions to direct, quantitative test.

The authors are candid about the field’s growing pains. The MEG literature on bilingualism remains small, with modest samples, heterogeneous tasks, and inconsistent choices of source-estimation methods, connectivity measures, and statistical corrections that hamper comparison across studies. Larger samples, transparent reporting, and independent replication are needed, along with studies spanning childhood to old age, since most existing work has examined only young adults. Emerging wearable optically pumped magnetometer systems, which use quantum sensors that adapt to different head sizes and tolerate movement, could broaden access, though cost and magnetic shielding remain barriers. And MEG has a blind spot: it is primarily sensitive to cortex, poorly detecting the deep basal ganglia and thalamic structures central to theories of language selection. Combining MEG with MRI and behavioral measures may ultimately be required. Still, the review makes a compelling case that seeing the bilingual brain in motion, millisecond by millisecond, is the clearest path yet to understanding what speaking two languages really does to the mind.

Subject of Research: Neural dynamics of language control and executive functions in the bilingual brain measured with magnetoencephalography

Article Title: Mapping the functional dynamics of language control and executive functions in the bilingual brain with magnetoencephalography

Article References: Liu, X., Aydin, Ü., & Pliatsikas, C. (2026). Mapping the functional dynamics of language control and executive functions in the bilingual brain with magnetoencephalography. Frontiers in Language Sciences, 5, Article 1974917. https://doi.org/10.3389/flang.2026.1974917

Image Credits: AI Generated

DOI: 10.3389/flang.2026.1974917

Keywords: bilingualism, magnetoencephalography, language control, executive functions, neural oscillations, functional connectivity, cognitive control, resting-state MEG, language switching, neuroplasticity, prefrontal cortex, brain networks

Shared reading has long been recognized as a powerful engine for early language development. Unlike everyday conversation, which tends to recycle familiar vocabulary, books introduce children to novel words that rarely surface in routine exchanges. The dialogic nature of shared reading—parents and children co-constructing narratives from illustrations—gives children the chance to stretch beyond their current vocabulary through interactions with more knowledgeable partners. Yet despite a growing literature on shared reading, most of it has focused on monolingual families or relied on surveys and controlled experiments. How bilingual parents and children actually use their two languages during natural reading interactions at home has remained largely uncharted territory.

The research team, based at the University of Oslo, grounded their work in a social-interactionist framework, which holds that children’s language learning emerges through social interaction. They focused on two distinct ways parents turn a child’s attention to words, differing in their degree of elaboration. Labeling involves simply naming objects, characters, or actions in the book—for instance, saying

Labeling involves simply naming objects, characters, or actions in the book—for instance, saying “this is a forest”—while word explanations go further, offering definitions, descriptions, or elaborations, such as “when a place is filled with many trees, it’s called a forest.” The distinction matters because the two strategies are thought to support different aspects of vocabulary learning at different points in development. Labeling is concrete and direct, well suited to early word acquisition, whereas explanations become increasingly valuable as children’s language abilities grow and they can profit from richer, more elaborated talk about word meanings. Prior research suggests that parents naturally shift from one to the other as children mature, a sensitivity that reflects a broader tendency to tailor support to a child’s current abilities—what developmental theory describes as working within the child’s zone of proximal development.

What makes the new findings striking is that the difference between the two groups of families appeared in labeling but not in word explanations. Dyads who primarily read in their first language engaged in labeling more frequently than those who primarily read in their second language, yet the two groups did not differ in how often they provided word explanations. This asymmetry suggests that the choice of reading language shapes some forms of talk more than others. Naming an object in the moment may be easiest and most automatic in the language a family commands most comfortably, while offering an explanation—perhaps because it is a rarer, more effortful, and more deliberate move—may draw on resources that are less dependent on which language dominates the reading session.

The second major finding concerns code-switching, the alternating use of two languages within a single conversation or even a single utterance. Parents in the study code-switched more often during word explanations than during labeling, and this held true regardless of whether they primarily read in their first or second language. In other words, when parents moved from simply naming things to elaborating on what words mean, they became more likely to reach across their linguistic repertoire. This pattern offers a window into the functional, purposeful nature of bilingual speech: rather than mixing languages randomly, parents appear to deploy their second language precisely at moments of greatest communicative demand, when a child’s understanding may need extra support.

This kind of strategic language mixing is consistent with a growing body of research suggesting that bilingual parents use and combine their two languages for specific communicative purposes. For families raising children in a majority-language environment, the stakes of these choices are considerable. Parents from language-minority groups often must balance two competing goals: nurturing a minority heritage language at home while also preparing children for the language of formal schooling, which for most dual language learners is the majority language and their second language. Preschool entry frequently marks the beginning of systematic exposure to the majority language, which can place the minority language at risk of attrition. In the Norwegian context specifically, earlier survey work has found that parents report using their first language more when addressing their children than children do when addressing their parents—a pattern that underscores the parents’ central role as carriers of the heritage language.

Parents who wish to maintain their children’s proficiency in the heritage language are often aware of this responsibility and engage in deliberate practices to support it. The new study adds an important dimension to this picture by showing what those practices look like in the flow of actual reading interactions, rather than in parents’ retrospective reports. Because the data were collected naturalistically—families reading a wordless picture book at home, in their own space and on their own terms—the findings capture behavior that surveys and laboratory tasks may miss. Self-reports can be shaped by what parents believe they should do, and experimental designs can constrain the very behaviors of interest. Wordless picture books proved especially valuable here: unlike textbooks, which bilingual parents tend to read in the language of the text itself, wordless books free families to use either or both of their languages, revealing their natural preferences and habits.

The study also situates itself within a small but growing literature on how reading language relates to reading behavior. Previous work with English–French parents in Quebec found that parents reported reading more frequently and for longer stretches in their dominant language. Studies of Hispanic families in the United States have examined how parents’ preferred or primary language relates to their use of interactive and dialogic reading strategies, with mixed results—one study found that parents used strategies like asking questions and defining words most often when reading in their preferred language, particularly among those who preferred English, while another found no differences in dialogic strategies across language groups. By moving beyond self-report to direct observation, and by distinguishing between two specific forms of talk that differ in elaborateness, the Norwegian study refines the questions this literature can ask: it is not simply whether reading language matters, but which kinds of talk it shapes and which it leaves untouched.

The distinction between labeling and word explanations also connects to a broader research tradition on how parents draw children’s attention to words. Researchers have long noted that parental input during literacy activities varies from concrete to elaborated talk, and that word explanations in particular appear to be used infrequently during shared reading of textbooks. Studies examining whether mothers’ tendency to explain words relates to their educational level have produced mixed findings, suggesting that the drivers of elaborated talk are complex and not reducible to demographic variables. The present findings hint that the language situation of the family—specifically, which language anchors the reading session—may be one of those drivers, at least for the more automatic forms of word-focused talk.

There is also a developmental dimension worth emphasizing. As children grow more linguistically competent, parents may shift from labeling toward explanations, adapting their talk to match the child’s evolving abilities. The finding that code-switching clusters around explanations suggests that bilingual parents may treat their full linguistic repertoire as a flexible toolkit for this adaptation. When a simple label suffices, one language can carry the interaction; when a concept requires unpacking, the parent may reach for whichever language offers the clearest path to understanding, even mid-sentence. Such moment-to-moment decisions, repeated across countless reading sessions, could have cumulative consequences for how bilingual children build vocabulary in each of their languages.

The work builds on the research group’s own earlier qualitative observations of a small number of bilingual dyads, in which they noticed that parents who relied heavily on their first language actively worked to keep the conversation there—sometimes redirecting a child who used a second-language word by asking for the first-language equivalent. Scaling up to 151 dyads allowed the team to test whether the patterns glimpsed in that small sample held systematically across a larger, more diverse set of families. The confirmation that first-language-dominant dyads label more often, and that code-switching tracks explanatory talk across both groups, lends quantitative weight to what had been qualitative impressions.

For practitioners and policymakers, the findings carry practical implications. Shared reading programs aimed at bilingual families often encourage dialogic techniques, including asking questions and explaining word meanings. The evidence that parents naturally reserve their most elaborate, cross-linguistic talk for explanations suggests that such programs should acknowledge, rather than discourage, the strategic use of both languages. A parent who switches languages to clarify a word’s meaning is not undermining the heritage language project; they may be doing precisely what the interaction requires to keep the child engaged and comprehending. At the same time, the lower rate of labeling among second-language-dominant dyads raises questions about the vocabulary input children receive in each language during book time, and about whether families who read mainly in the majority language may be providing fewer of the quick, concrete naming moments that fuel early word learning in the heritage language.

More broadly, the study demonstrates the value of naturalistic observation for understanding bilingual family life. Language use at home is fluid, context-sensitive, and shaped by goals that parents may not articulate but reliably enact. By identifying systematic links between the language of reading, the type of talk, and the likelihood of code-switching, the research offers a template for future work: examining whether these patterns hold for other book types, older children, and other bilingual communities, and whether the talk patterns observed in reading predict children’s vocabulary growth over time in each of their two languages. In the meantime, the picture that emerges is one of quiet sophistication—parents orchestrating two languages with apparent effortlessness, in service of a child’s expanding understanding of words and worlds.

Subject of Research: Bilingualism

Article Title: Bilingual parent–child dyads' language use and code-switching during shared reading: exploring variations across labeling and word explanations

Article References: Nomat, D., Rydland, V., & Grøver, V. (2026). Bilingual parent–child dyads' language use and code-switching during shared reading: exploring variations across labeling and word explanations. Frontiers in Language Sciences, 5, Article 1934991. https://doi.org/10.3389/flang.2026.1934991

Image Credits: AI Generated

DOI: 10.3389/flang.2026.1934991

Keywords: code-switching, shared reading, bilingualism, labeling, word explanations, language development, parent-child interaction, scaffolding, dual language learners, Norway, Bilingual, parent

The cloze task, introduced by Wilson Taylor in 1953, has become the workhorse of language prediction research. Researchers present participants with incomplete sentences and record the distribution of their completions. If most people supply the same word, the sentence is considered highly constraining; if responses scatter widely, it is not. Traditionally, this is quantified as cloze probability, the percentage of participants who produce the most frequent continuation. Some studies treat sentences below 37 percent as low-constraining and those above 67 percent as highly constraining. But cloze probability has a blind spot: a distribution of 60-10-10-10-10 and one of 60-40 yield the same score despite radically different uncertainty. To capture that hidden variability, the researchers also computed response entropy, a measure borrowed from information theory that sums the probabilities of every unique answer, weighted logarithmically. Entropy bottoms out at zero when everyone agrees and climbs toward its maximum when every response is unique. Previous work has suggested entropy may even predict reading behavior better than cloze probability alone.

The critical question Bautista and Martin posed was deceptively simple: does the population used to establish these norms actually matter? The validity of any cloze pre-test depends on how closely the norming sample matches the people who will later be tested in the main experiment. Studies of aging had already shown that cloze responses are stable across adulthood, which allowed researchers to norm materials with young students and use them with older adults. But for language, the intuition that proficiency shapes cloze answers had never been empirically tested. This gap has grown urgent as bilingualism research moves away from comparing native speakers against everyone else and toward more sophisticated designs, such as mirrored language groups or multiple language pairings, that control for confounds the old paradigms ignored.

To fill that gap, the team recruited 240 participants through the online platform Prolific, forming four groups of sixty. Two groups were dominant speakers: people born in France who reported French as their first language, and people born in Spain who reported Spanish as their first language. Two further groups were fluent but non-dominant speakers of French: Spanish-French bilinguals born in Spain and English-French bilinguals born in the United Kingdom. Proficiency was verified with LexTALE vocabulary tests, which confirmed that the two bilingual groups did not differ significantly in their French proficiency, a crucial control. Each participant completed a cloze task on 110 sentence contexts drawn from a shared pool of 330 sentences, each designed to bias toward a final noun phrase such as “a cow” after “On farms, to get milk, it is necessary to milk…”. Every sentence had a French and a Spanish translation equivalent, with matched target nouns in length and lexical frequency.

The first analysis asked whether language itself shapes sentence constraint. French-dominant and Spanish-dominant speakers completed the same sentences in their respective languages, and their average response entropy turned out to be strikingly similar: 1.05 in French versus 0.93 in Spanish, a difference that fell short of statistical significance. On the surface, translation seemed to preserve constraint. But when the researchers examined the item-by-item alignment between the two groups using Spearman correlations, benchmarked against bootstrapped estimates of chance-level and maximum possible alignment, the picture changed. The observed correlation of 0.55 was far above chance yet clearly below the internal consistency of each group, which sat at 0.67. In other words, individual sentences did not reliably elicit the same degree of constraint across the two languages, even though the languages are closely related Romance cousins sharing substantial vocabulary and culture.

One striking example reveals why. The sentence “The elderly woman bought potatoes and eggs because she wanted to prepare…” drove 90 percent of Spanish-dominant speakers to answer “tortilla”, the iconic Spanish omelette, but only 40 percent of French-dominant speakers gave the equivalent response. The constraint difference here reflects culturally specific knowledge rather than anything linguistic. The authors argue that such cultural iconicity can shape cloze answers beyond language per se, and they speculate that even French speakers from France, Quebec, and Senegal might diverge on identical sentences. The methodological implication is blunt: translating cloze materials from one language to another introduces response variability even under strict translation, so the most reliable practice remains pre-testing sentences with the target language community itself.

The second analysis tackled language dominance, comparing the three groups who completed sentences in French. Here the average differences were unmistakable. Response entropy averaged 1.05 for French-dominant speakers but jumped to 1.50 for Spanish-French bilinguals and 1.47 for English-French bilinguals, a highly significant difference. Sentences were simply less constraining for people reading in their non-dominant language, confirming empirically what researchers had long assumed but never demonstrated. Alignment between dominant and non-dominant groups was again only moderate, with correlations of 0.52 and 0.60 falling well short of the maximum-alignment benchmarks. Practically, this means that using cloze norms collected from dominant speakers to design experiments with non-dominant populations will inevitably introduce error in estimates of lexical constraint.

The most surprising result emerged when the two non-dominant groups were compared with each other. Spanish-French and English-French bilinguals, despite having entirely different dominant languages, showed nearly identical average entropy and an item-by-item correlation of 0.70, the highest in the study and the closest to what would be expected if the groups came from a single population. This suggests that what matters most for cloze responses is the speaker’s relationship to the language being tested, not the identity of their other language. Norms gathered from one non-dominant group may transfer to another non-dominant group of similar proficiency, potentially saving researchers an entire norming study. The authors caution, however, that both bilingual groups shared European cultural backgrounds, and the alignment might not extend to more distant pairings such as Mandarin Chinese-French bilinguals.

Both measures of constraint, the traditional cloze probability and the newer response entropy, led to the same conclusions and correlated above 0.96 within every group, suggesting neither needs to be abandoned. Yet the study also exposed limitations in the entropy formula, which can produce counterintuitive values, rating a 50-50 split as less uncertain than a 70-10-10-10 distribution. The authors propose that a normalized version might better capture predictive uncertainty. They also note that even within a single population, split-half consistency never exceeded 0.70, meaning cloze norms are inherently probabilistic estimates rather than fixed standards, and exact scores from a pre-test will never perfectly match those of the main experiment.

The findings reach beyond the laboratory into the age of large language models. Surprisal estimates from these models increasingly predict well-established neural markers of language prediction, such as N400 brain responses and eye movements during reading, but most of that evidence comes from English and other Germanic languages that dominate training data, and the models carry documented biases toward Western cultural norms. If human sentence expectations are shaped by language and dominance, models are unlikely to capture the learning trajectories and sociolinguistic profiles of non-English-dominant speakers. The authors recommend that researchers studying bilingual populations consider bilingual language models trained on comparable language pairs, and those studying monolingual non-English populations use monolingual models for that language. Systematic comparisons between model-derived surprisal and human cloze norms across diverse groups are now needed. The team has released its full database of cloze responses from all four populations to 330 translated sentences through the Open Science Framework, giving the field both the evidence and the resources to stop treating prediction as language-independent.

Subject of Research: How language and language dominance influence lexical sentence constraint measured by cloze tests

Article Title: Not that cloze: Sentence constraint is influenced by language and language dominance

Article References: Bautista, A., & Martin, C. D. (2026). Not that cloze: Sentence constraint is influenced by language and language dominance. Behavior Research Methods, 58(11), Article 317. https://doi.org/10.3758/s13428-026-03140-8

Image Credits: AI Generated

DOI: 10.3758/s13428-026-03140-8

Keywords: cloze test, sentence constraint, language prediction, bilingualism, language dominance, response entropy, psycholinguistics, cross-linguistic differences, large language models, surprisal, Behavior Research Methods, norming