More Like this

1. Capturing the variation in language experience to understand language processing and learning

   https://doi.org/10.1075/lia.20018.kro  

   Kroll, Judith F.; Takahesu Tabori, Andrea; Navarro-Torres, Christian (July 2021, Language, Interaction and Acquisition)

   Abstract A goal of early research on language processing was to characterize what is universal about language. Much of the past research focused on native speakers because the native language has been considered as providing privileged truths about acquisition, comprehension, and production. Populations or circumstances that deviated from these idealized norms were of interest but not regarded as essential to our understanding of language. In the past two decades, there has been a marked change in our understanding of how variation in language experience may inform the central and enduring questions about language. There is now evidence for significant plasticity in language learning beyond early childhood, and variation in language experience has been shown to influence both language learning and processing. In this paper, we feature what we take to be the most exciting recent new discoveries suggesting that variation in language experience provides a lens into the linguistic, cognitive, and neural mechanisms that enable language processing. 

   more » « less
2. When event knowledge overrides word order in sentence comprehension: Learning a first language after childhood

   https://doi.org/10.1111/desc.13073  

   Cheng, Qi; Mayberry, Rachel_I (January 2021, Developmental Science)

   Abstract Limited language experience in childhood is common among deaf individuals, which prior research has shown to lead to low levels of language processing. Although basic structures such as word order have been found to be resilient to conditions of sparse language input in early life, whether they are robust to conditions of extreme language delay is unknown. The sentence comprehension strategies of post‐childhood, first‐language (L1) learners of American Sign Language (ASL) with at least 9 years of language experience were investigated, in comparison to two control groups of learners with full access to language from birth (deaf native signers and hearing L2 learners who were native English speakers). The results of a sentence‐to‐picture matching experiment show that event knowledge overrides word order for post‐childhood L1 learners, regardless of the animacy of the subject, while both deaf native signers and hearing L2 signers consistently rely on word order to comprehend sentences. Language inaccessibility throughout early childhood impedes the acquisition of even basic word order. Similar to the strategies used by very young children prior to the development of basic sentence structure, post‐childhood L1 learners rely more on context and event knowledge to comprehend sentences. Language experience during childhood is critical to the development of basic sentence structure. 

   more » « less
3. Input matters in the modeling of early phonetic learning

   Li, Ruolan; Schatz, Thomas; Matusevych, Yevgen; Goldwater, Sharon; Feldman, Naomi H. (July 2020, Proceedings of the Annual Conference of the Cognitive Science Society)

   In acquiring language, differences in input can greatly affect learning outcomes, but which aspects of language learning are most sensitive to input variations, and which are robust, remains debated. A recent modeling study successfully reproduced a phenomenon empirically observed in early phonetic learning---learning about the sounds of the native language in the first year of life---despite using input that differed in quantity and speaker composition from what a typical infant would hear. In this paper, we carry out a direct test of that model's robustness to input variations. We find that, despite what the original result suggested, the learning outcomes are sensitive to properties of the input and that more plausible input leads to a better fit with empirical observations. This has implications for understanding early phonetic learning in infants and underscores the importance of using realistic input in models of language acquisition. 

   more » « less
4. Multilingual learners’ exposure to science and language inputs in elementary school: ¿Qué sabemos?

   https://doi.org/10.1002/sce.21888  

   Boza, Lelydeyvis; Chris_Curran, F; Harris‐Walls, Katharine; Tan, Tiffany S; Deig, Amber; Pacheco, Mark B (June 2024, Science Education)

   As linguistic diversity continues to increase in the United States public school system, schools are expected to meet the needs of their ever‐changing student body. While much attention within education research has understandably focused on multilingual learners’ (MLs) English language acquisition, an emergent body of work points to science as an important subject for attention among elementary MLs. We suggest that understanding whatscience and language inputsare afforded to MLs in schools can contribute to understanding the needs and opportunities for enhancing MLs’ science learning. This study leveraged nationally representative data from the Early Childhood Longitudinal Study of 2010–2011 to explore the science and language inputs available to MLs in elementary school. Using descriptive statistics, our analysis of science and language inputs provides evidence on what MLs have, or do not have, access to inside of their schools. Science inputs appear to be relatively evenly distributed across classrooms serving non‐MLs, MLs, and subgroups therein. In comparison, language inputs are differentially distributed across ML subgroups, but they are distributed in ways that may align with student needs. However, while the science inputs do not necessarily vary across subgroups, the language inputs do, and this may affect how students can engage with science inputs. In understanding what science and language inputs MLs are afforded, this study provides a foundation for how to improve formal learning environments for them, especially regarding science learning. 

   more » « less
5. Language systematizes attention: How relational language enhances relational representation by guiding attention

   https://doi.org/10.1016/j.cognition.2023.105671  

   Yuan, Lei; Novack, Miriam; Uttal, David; Franconeri, Steven (February 2024, Cognition)

   Language can affect cognition, but through what mechanism? Substantial past research has focused on how labeling can elicit categorical representation during online processing. We focus here on a particularly powerful type of language—relational language—and show that relational language can enhance relational representation in children through an embodied attention mechanism. Four-year-old children were given a color-location conjunction task, in which they were asked to encode a two-color square, split either vertically or horizontally (e.g., red on the left, blue on the right), and later recall the same configuration from its mirror reflection. During the encoding phase, children in the experimental condition heard relational language (e.g., “Red is on the left of blue”), while those in the control condition heard generic non-relational language (e.g., “Look at this one, look at it closely”). At recall, children in the experimental condition were more successful at choosing the correct relational representation between the two colors compared to the control group. Moreover, they exhibited different attention patterns as predicted by the attention shift account of relational representation (Franconeri et al., 2012). To test the sustained effect of language and the role of attention, during the second half of the study, the experimental condition was given generic non-relational language. There was a sustained advantage in the experimental condition for both behavioral accuracies and signature attention patterns. Overall, our findings suggest that relational language enhances relational representation by guiding learners’ attention, and this facilitative effect persists over time even in the absence of language. Implications for the mechanism of how relational language can enhance the learning of relational systems (e.g., mathematics, spatial cognition) by guiding attention will be discussed. 

   more » « less