Age of acquisition, usually abbreviated AoA, refers to the age at which a person first learns a word in their native language. For half a century, cognitive psychologists have documented that this seemingly simple variable exerts a powerful influence on how the mind processes language. Pictures of objects whose names were learned early in life are named faster, words acquired early are read faster, and in the lexical decision task, where participants judge whether a letter string is a real word, both reaction times and error rates depend on when the word entered a person’s vocabulary. The effect even extends to semantic tasks: words learned early generate more associates in word-association experiments and are categorized more quickly, although interestingly the effect does not appear in picture categorization. Because AoA shapes performance across such a broad range of tasks, researchers treat it as one of the essential psycholinguistic variables, alongside word frequency, length, and concreteness, that must be controlled when designing experiments on reading and lexical processing.

The standard way to measure AoA is simply to ask adults. Participants estimate, in years, the age at which they believe they learned each word, producing what researchers call subjective AoA ratings. Such norms now exist for Chinese, Croatian, Dutch, English, French, German, Icelandic, Italian, Japanese, Portuguese, Spanish, Turkish, and many other languages. Methodological preferences have shifted over time: early studies used coarse rating scales, such as a seven-point scale in which the lowest point covered ages zero to two and the highest covered thirteen and older. More recent work favors asking respondents to report a specific age in years, a technique that avoids artificially restricting the response range and is easier for participants to use. Cross-language comparisons show that the order in which words are learned is remarkably consistent across cultures, with reliability-adjusted correlations between languages reaching as high as .96 between Polish and Slovak.

Until now, Russian researchers have worked with a patchwork of small datasets. Existing norms covered only a few hundred items each: 260 nouns denoting pictured objects, 190 and 375 verbs in separate studies, 696 nouns, 414 verbs, 475 adjectives, and 506 concrete and abstract nouns. Most of these ratings were never validated against children’s actual word knowledge. The new dataset changes that picture dramatically, expanding the lexical coverage of Russian AoA norms by two orders of magnitude and providing, for the first time, a resource comparable in scope to the major English and Dutch norms that each cover roughly 30,000 words.

The scale of the data collection effort was considerable. Approximately 3,000 participants took part, recruited both in person, primarily first-year university students and faculty members, and online through the Yandex.Toloka crowdsourcing platform, where respondents received about $2.50 in compensation. After a battery of quality checks, 2,201 protocols were retained, roughly 73 percent of the total. The respondents, whose mean age was 27.2 years, rated words organized into 103 lists of 300 target words each. Each list also contained ten calibrator words, included to show respondents the possible range of ratings, and thirty control words with previously established ratings, used to verify the validity of each person’s responses. Data collection proceeded in three annual phases between 2022 and 2024, with ratings gathered for 7,500 words in the first year, 16,500 in the second, and 6,900 in the third.

The stimulus set was drawn mainly from a standard frequency dictionary of contemporary Russian, supplemented by words from category norms and other items familiar to modern speakers. The researchers deliberately sampled across grammatical categories: within each list, 134 items were nouns, 76 verbs, 70 adjectives, 17 adverbs, and 3 belonged to other parts of speech, mirroring the distribution in the source dictionary. Words from the same derivational family, such as “cunning” and “craftiness,” were generally kept in different lists to avoid inflating similarity between ratings. The final set ranged from one to 24 letters in length, with words presented in their lemmatized form except where a plural is more common in actual usage.

Ensuring data quality required elaborate screening. Each protocol was checked for autocorrelation, meaning suspiciously smooth sequences of ratings, and for its correlation with the known ratings of the control words. Protocols were excluded if a respondent’s mean rating deviated more than two standard deviations from the list average, if the respondent claimed to have learned every word after age four, or if more than sixty words were marked as unknown. In the online sessions, individual responses with latencies shorter than 800 milliseconds were also discarded, and all data were additionally inspected manually. The result was remarkably consistent: a bootstrap split-half analysis, in which respondents were repeatedly divided into two random halves and their mean ratings correlated, yielded a mean raw correlation of .895 and a Spearman-Brown-corrected reliability of .944, indicating that adults provide highly stable estimates even across thousands of unfamiliar-seeming items.

The most striking aspect of the study is its validation strategy. Rather than relying solely on internal consistency, the researchers tested whether the adult ratings actually predict when children learn words. They constructed multiple-choice vocabulary tests in which students had to select, from five options, the word or phrase best matching a target word, following careful design principles such as ensuring the correct answer was simpler than the target and that distractors were semantically balanced. In the grade-level validation, a 300-item test was administered to students in grades 2, 4, 6, 8, and 10 in schools in the Moscow region and the city of Kursk. A word was considered known at a given grade if at least 75 percent of students answered correctly and students in all higher grades did as well. The correlation between these objective, grade-based estimates and the adult subjective ratings was .805, a remarkably strong correspondence showing that adults’ retrospective judgments closely track the real developmental timeline of word learning.

A second procedure, within-grade validation, examined whether the ratings predict accuracy among children of the same age. Two rounds of testing, eight to ten months apart, involved 700 schoolchildren in total. Across every grade level, the correlations between subjective AoA and the proportion of correct answers were consistently negative: the later a word was estimated to be acquired, the lower the accuracy on its test item, both among second-graders and among eighth-graders. After statistical corrections for measurement error and range restriction, these correlations increased further. The ratings also correlated .698 with objective AoA values obtained by asking children of different ages to name pictured objects, and correlations with the seven previous Russian datasets ranged from .68 to .91, providing converging evidence from every available angle.

The norms also reproduce the expected relationships with other psycholinguistic variables. Later-acquired words tend to be longer, with correlations of about .28 with word length, and less frequent, with correlations between -.38 and -.45 depending on the frequency source. They are also less concrete, less imageable, and less familiar, with the strongest association observed for imageability. Intriguingly, the study also revealed respondent-level patterns: older adults gave slightly later AoA estimates and marked far fewer words as unknown, suggesting that vocabulary knowledge continues to expand across the lifespan and that our memories of word learning may shift with our own age. With the full dataset now freely available on the Open Science Framework, researchers in psycholinguistics, reading development, computational modeling, and language education gain a powerful new tool, and cross-linguistic comparisons of how children build their lexicons become possible for Russian at a scale never before achievable.

Subject of Research: Subjective age-of-acquisition norms for 30,849 Russian words and their validation against schoolchildren's vocabulary knowledge

Article Title: Subjective age of acquisition norms for 30,849 Russian words

Article References: Subjective age of acquisition norms for 30,849 Russian words. (n.d.). https://doi.org/10.3758/s13428-026-03138-2

Image Credits: AI Generated

DOI: 10.3758/s13428-026-03138-2

Keywords: age of acquisition, psycholinguistics, Russian language, lexical norms, vocabulary development, word frequency, lexical processing, language acquisition, Behavior Research Methods, open data, word recognition, cognitive psychology

At the heart of this discovery lies a remarkable behavioral similarity: both human babies and marmoset infants engage in a babbling phase characterized by repetitive, seemingly purposeless vocalizations. In humans, this babbling stage is fundamental to language development, providing a scaffold on which more structured speech is built. The Princeton team observed analogous babbling in marmosets, a finding that challenges prevailing assumptions that such vocal learning strategies are uniquely human or confined to few avian species. What makes this even more fascinating is that these marmoset infants rely on feedback from their caregivers, much like human babies, to refine their vocal emissions toward adult-like calls.

This vocal learning process unfolds against a backdrop of rapid brain growth following birth, a pattern shared between humans and marmosets but markedly different from other primates. The developmental window during which these vocal exchanges occur coincides with a distinctive neural growth spurt. Unlike chimpanzees and rhesus macaques, whose significant brain maturation predominantly transpires prenatally, both human and marmoset brains expand remarkably postnatally. This timing places the infant’s social environment at the forefront of shaping neural circuits responsible for vocal learning. The study highlights how the brain’s enhanced plasticity during this critical period allows external auditory, social, and emotional inputs to influence and refine emerging communication skills.

This linkage between brain development and social vocal learning presents a compelling evolutionary question: how did two primate species so distantly related — humans and marmosets diverging over 40 million years ago — converge on a similar strategy for acquiring vocal skills? Chimpanzees, our closest genetic relatives, do not exhibit this reliance on interactive vocal feedback during infancy, indicating that vocal learning through caregiver-infant exchange is not a shared ancestral trait but rather an instance of convergent evolution. Researchers speculate that the demanding social structure and cooperative breeding systems present in marmosets may have fostered the evolution of this vocal flexibility, mirroring the intricately social human parenting context.

The intricacies of this vocal exchange in marmosets were elucidated through longitudinal observational studies complemented by quantitative analysis. As marmoset infants transitioned from rudimentary, sputtering vocalizations to mature, whistle-like calls, those receiving frequent adult responses accelerated their learning trajectory. These findings provide the first compelling experimental evidence demonstrating that, unlike the stereotyped vocalizations of most nonhuman primates, marmosets actively rely on social reinforcement to shape their communicative repertoire. This plastic developmental period represents a critical phase wherein auditory feedback is integrated with neural growth to refine vocal output, an insight that long eluded ethologists and neurobiologists alike.

Princeton’s research team, led by Ph.D. candidate Renata Biazzi under the mentorship of Professor Asif Ghazanfar, further examined comprehensive datasets encompassing the neurodevelopmental timelines of four primate species: humans, marmosets, chimpanzees, and rhesus macaques. Employing comparative neuroanatomical and developmental analyses, they pinpointed a distinct postnatal brain growth trajectory uniquely shared by humans and marmosets. This growth pattern likely underpins the capacity for infant vocal learning, lending credence to theories linking altriciality — the state of being born in an undeveloped condition — with enhanced neural plasticity and learning potential.

A striking aspect of marmoset parenting that emerged from the study is the cooperative care system, which shares parallels with human alloparenting. Multiple caregivers attend and respond to the infant’s vocalizations, thereby amplifying social feedback and enabling a rich communicative environment. This contrasts starkly with the more solitary caregiving observed in many primates and may be a pivotal factor underpinning the evolution of vocal learning in marmosets. The social dynamics surrounding vocal exchanges provide a natural laboratory to investigate how neurodevelopment and environmental factors jointly influence communication skills.

Through a sophisticated mathematical model, the researchers demonstrated how the interplay between rapid brain growth and responsive caregiving accelerates vocal development. This model simulates the amplification effect of timely social feedback during periods of heightened neural receptivity, offering a mechanistic explanation for the observed learning rates in marmoset infants. It illustrates anatomical and behavioral coupling — whereby neural plasticity positions the brain for learning and social interaction furnishes the necessary stimuli — together forging the trajectory of vocal competence.

Looking forward, the Princeton team aims to delve deeper into the qualitative features of vocal interactions between adult marmosets and their offspring. Intriguingly, they hypothesize that, much like human adults use infant-directed speech — characterized by exaggerated intonation and slower tempo — adult marmosets may employ specialized calls or modulations when communicating with babies. Discovering such “marmoset baby talk” would provide further evidence of convergent communicative strategies and could illuminate fundamental principles of social feedback mechanisms essential for vocal learning.

The implications of this research extend beyond primatology and evolutionary biology into the realms of developmental neuroscience and linguistics. By studying an animal model that combines early postnatal brain plasticity with social vocal feedback, scientists can better understand the neurobiological substrates that support human language acquisition. Moreover, elucidating how interaction shapes neural development during sensitive periods offers promising insights for addressing communication disorders and optimizing early childhood learning environments.

Importantly, this research delineates the boundaries of vocal learning capabilities in primates. While many species can alter vocalizations in adulthood, the sensitive infancy period, marked by rapid brain maturation and intensive social feedback, appears uniquely conducive to ingraining foundational vocal skills. This emphasizes the criticality of early social environments in shaping neural trajectories and communication proficiencies, a principle that resonates with prevailing human developmental theories.

In sum, the study reveals that the extraordinary capacity for vocal learning shared by human infants and common marmosets stems from a convergence of neural developmental timing and rich social interactivity. These findings rewrite aspects of the evolutionary narrative, suggesting that infant vocal learning’s roots may extend further into the primate lineage than previously assumed, shaped as much by brain physiology as by the social fabric enveloping the newborn. As research progresses, the common marmoset stands as a pivotal species for unraveling the complex interplay between brain development, social feedback, and the emergence of language-like communication.

Subject of Research: Animals

Article Title: Altricial brains and the evolution of infant vocal learning

News Publication Date: 19-Aug-2025

Web References: http://dx.doi.org/10.1073/pnas.2421095122

References:

• Biazzi, R. B., Takahashi, D. Y., & Ghazanfar, A. A. (2025). Altricial brains and the evolution of infant vocal learning. Proceedings of the National Academy of Sciences, August 19, 2025. https://doi.org/10.1073/pnas.2421095122

Image Credits: Francesco Veronesi, “Family of Common Marmoset”, Flickr (2014). Licensed under CC BY-SA 2.0

Keywords: Neuroscience, Neuroethology, Language development, Language acquisition, Developmental neuroscience, Evolutionary biology, Evolutionary developmental biology

In this meticulously crafted study, Takizawa and Suzuki analyzed the speech patterns of 102 Japanese speakers of English who were tasked with delivering argumentative speeches. This analysis aimed to uncover the nuanced relationship between formulaic expressions—specifically, bigrams and trigrams (two- and three-word combinations)—and the fluency judgments made by experienced raters. The researchers undertook a comprehensive approach, controlling for a variety of critical fluency metrics such as articulation rate, speech pauses, and self-corrections. This methodical isolation allowed them to discern the specific impact that prevalent phrases have on listeners’ perceptions of fluency.

The results of the study, published in the prestigious journal Studies in Second Language Acquisition, reveal a striking correlation between utterance fluency and perceived fluency. The smooth delivery of speech was determined to be the strongest predictor of overall fluency, accounting for an impressive 61% of the variance in fluency ratings given by the raters. Importantly, while the presence of high-frequency formulaic expressions garnered an incremental boost of 0.8% in fluency judgments, the impact of elusive and complex phrases was found to be negligible at best. These insights challenge the belief that rare words are a pathway to sounding more proficient.

The implications of this research are profound, especially in the context of language learning and the evaluation processes involved in standardized tests like the TOEFL and IELTS. These assessments place a significant emphasis on fluency, wherein expert raters consider not only the rapidity of speech but also its naturalness and fluidity. Despite previous studies hinting at the role of formulaic expressions, Takizawa and Suzuki’s work is pioneering in that it explicitly investigates the extent to which these phrases influence fluency judgment.

Suzuki articulated the practical ramifications of the findings, suggesting a paradigm shift in how language education is approached. He noted that it has been commonplace for teachers and learners to gravitate towards complex vocabulary and challenging phrases, mistakenly believing that such choices would signal greater proficiency. Instead, the research advocates for a focus on everyday expressions that frequently emerge in natural conversations, emphasizing that notable advancements in perceived fluency can be achieved through the application of these common phrases.

For aspiring speakers, this study serves as a critical guide. It emphasizes the necessity of integrating high-frequency phrases into speech rather than struggling with the adoption of intricate vocabulary. For instance, exchanging a stiff expression like "I agree the idea" for the more natural "I agree with the idea" can make an indelible impact on the listener’s impression of fluency. This guidance is particularly relevant for learners at all levels, as such expressions are amply represented in educational resources and commonplace dialogue.

The study highlights a crucial detail: fluency is not solely about speed or ease of speech but also involves the strategic use of language. In recognizing the importance of standard phrases, learners can adopt a more effective approach for enhancing their fluency. The findings underscore the necessity of balancing the intuitive aspects of speech with an awareness of speech delivery mechanics. Notably, Takizawa mentioned that there exists an undeniable connection between smoothness in utterance and favorable fluency judgments, prompting a reconsideration of established norms in language acquisition.

In the realm of language testing, where fluency is often a central criterion for scoring, the implications of this research could lead to significant changes in how learners prepare. Emphasizing the importance of mastering natural phrasal expressions while simultaneously ensuring the smoothness of speech can be a game-changer for test-takers striving for high scores. The research elucidates a clear connection: enhancing fluency in utterance undeniably contributes to more favorable evaluations in testing scenarios.

In a larger context, the findings allude to a broader understanding of communication strategies that could benefit individuals beyond academic pursuits. Proficient use of formulaic expressions is vital in day-to-day interactions, where the resonance of one’s speech can have lasting impacts on social engagement and relationships. This research undoubtedly provides a comprehensive framework for revisiting how we conceive of language acquisition and fluency.

In summary, Takizawa and Suzuki’s work marks a significant milestone in the field of language studies. By emphasizing the importance of everyday expressions over complex vocabulary, their findings offer a robust foundation for educators and learners alike. Their research not only challenges prevailing assumptions about language proficiency but also opens up new avenues for improving fluency among second language speakers. This transformative perspective offers promising insights into how language education can evolve to better serve learners in an increasingly interconnected world.

The study lays bare the essential role that common expressions play in shaping perceptions of fluency, thus equipping learners and educators with valuable insights that can redefine their approach to language acquisition. This newfound understanding serves as a reminder that the path to sounding fluent may be less about the complexity of words and more about the artful execution of familiar phrases.

Subject of Research: Language fluency and formulaic expressions
Article Title: The role of multiword sequences in fluent speech: The case of listener-based judgment in L2 argumentative speech
News Publication Date: 12-Feb-2025
Web References: DOI Link
References: Not applicable
Image Credits: Kotaro Takizawa, Waseda University, Japan

Keywords: Education research, Online education, Speech perception, Perceptual learning, Education technology, Learning styles, Language acquisition