Today, Tomorrow, and Overmorrow: The Acquisition of Deictic Temporal Terms in English and German [0.03%]
英语和德语中指示时间名词的习得：今天、明天和后天
Katherine Steele,Anna Bánki,Gabriela Markova et al.
Katherine Steele et al.
English and German both have single words for yesterday and tomorrow, but German also includes the words vorgestern ("the day before yesterday") and übermorgen ("the day after tomorrow"). This study investigates how these differences in ti...
Metehan Oğuz,Cui Ding,Ethan Gotlieb Wilcox et al.
Metehan Oğuz et al.
One important distinction in the syntax literature is between agreement that is external to the nominal phrase and agreement that is internal to it (sometimes called concord). How this type of agreement impacts sentence processing, however,...
Delayed First Language Exposure Negatively Impacts Representation of Small Quantities: Evidence from Deaf and Hard-of-Hearing Children [0.03%]
第一语言接触延迟对数量表征的负面影响——来自聋童和重听儿童的证据
Madeline Quam,Emily Carrigan,Kristin Walker et al.
Madeline Quam et al.
Most deaf and hard-of-hearing children are born to hearing parents, often delaying exposure to their first language. This negatively influences development of not only language, but also many other aspects of cognition, including exact repr...
Can Large Language Models Generate Useful Linguistic Corpora?: A Case Study of the Word Frequency Effect in Young German Readers [0.03%]
大型语言模型能否生成有用的语料库？以年轻德国读者的单词频率效应为例研究
Job Schepens,Hanna Woloszyn,Nicole Marx et al.
Job Schepens et al.
Linguistic corpora are an essential resource in psycholinguistic research. Here, we generate new corpora using large language models (LLMs) and determine their usefulness for estimating the word frequency effect on reading performance, focu...
Initial Expectations and Confidence Affect the Formation of Novel Self-Beliefs and Their Revision [0.03%]
初始期望和信心影响新型自我信念的形成及其修正
Alexander Schröder,Nora Czekalla,Annalina V Mayer et al.
Alexander Schröder et al.
Human self-beliefs hinge on social feedback, but their formation and revision are not solely based on new information. Biases during learning, such as confirming initial expectations, can lead to inaccurate beliefs. This study uses computat...
The Minds That Matter: How Robots' Mental Capacities Shape Children's Evaluations and Trust [0.03%]
思维有重量：机器人的心智能力影响儿童的评价与信任感
Anastasiia D Grigoreva Crean,Arber Tasimi
Anastasiia D Grigoreva Crean
Robots express a great deal of diverse human-like capacities, ranging from communicating in natural languages to displaying emotions to responding to physical touch. Here we examined the role of different kinds of mental capacities on child...
The Missing Half of Language Learning in Current Developmental Language Models: Exogenous and Endogenous Linguistic Input [0.03%]
当前语言模型中缺失的语言学习的另一半：外源性和内生性语言输入
Nan Zhao,Xufeng Duan,Zhenguang G Cai
Nan Zhao
Developmental language models (DLMs) aim to replicate the efficiency of child language acquisition but often focus solely on the estimation of exogenous linguistic input. We argue that a child's linguistic growth is also critically shaped b...
Gabriella E Smith,Megan L Lambert,Eliza Swindell et al.
Gabriella E Smith et al.
Both human children and animals seek information following a violation-of-expectation event, but little research suggests the latter do so for the sake of it. In this preregistered experiment, we compared epistemic curiosity-the pursuit of ...
Predictive Structure Emerges During the Generalisation of Kin Terms to New Referents [0.03%]
新的称呼对象出现时亲属称谓的泛化预测结构出现
Maisy Hallam,Fiona M Jordan,Simon Kirby et al.
Maisy Hallam et al.
Despite cross-linguistic diversity in how kin relations map to terminology, there are constraints on which kin may be categorised together. But what are the constraints on kin term variation, and where do they come from? One proposed constr...
Mina Habibi,Pieter Verbeke,Mehdi Senoussi et al.
Mina Habibi et al.
Humans are remarkably efficient at learning new tasks, in large part by relying on the integration of previously learned knowledge. However, research on task learning typically focuses on the learning of abstract task rules on minimalist st...