How much input is required for infant language learning: Exploring the distribution of types and tokens

婴儿语言学习需要多少输入:探索类型和标记的分布

基本信息

  • 批准号:
    0950601
  • 负责人:
  • 金额:
    $ 39.41万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2010
  • 资助国家:
    美国
  • 起止时间:
    2010-06-15 至 2015-05-31
  • 项目状态:
    已结题

项目摘要

Infants and children are remarkably adept at learning language, much more adept in fact than their parents. Until recently, two theories competed to explain the language learning skill of young children. In one view, infants and children are like sponges, soaking up every detail of their environment, including the linguistic environment. In a competing view, infants come into the world with the range of human languages (or grammars) already "built-in." Their linguistic environment serves only to allow them to select the particular grammar of their native language, such as what speech sounds will be used, whether verbs come in the middle or the end of sentences, etc. Recently, a third view has begun gaining support. This view shares the position of the first view that infants and children are highly sensitive to every detail of their environment. It shares the position of the second view that infants and children have as their goal determining the particular linguistic system or grammar of their community. One way to discriminate among these three theories is the amount and kind of input required for optimal language learning. The first "sponge" view (or Associative theories) suggests that a great deal of input is needed and that it does not matter much whether that input consists of many repetitions (tokens) of the same example (type; e.g., hearing the word dogs as the plural of dog multiple times) or different examples (e.g., hearing dogs, pigs, and mugs as the plurals of their respective singulars). The second "built-in grammars" view (or Innate Domain theories) suggests that extremely little input is needed and that even a single repetition of a single example is sufficient for the infant or child to learn a particular component of the native language. The third "grammar-seeking sponge" view (or Hypothesis Selection theories) suggests that a very small number (e.g., three) of different examples are needed for learning and that different examples are much more helpful than repetitions of an example. This project will compare these three theories by asking about the amount of input needed for language learning. It also attempts to embed the third theory in a more realistic model of human learners by asking if learning always improves as the number of examples increases, or whether there is a trade-off between the number of examples and the number of repetitions of each example.This research will contribute to our scientific knowledge by asking whether humans are reflections of their environment, their biology, or whether and how the mind is a product of a biological brain with a primary goal of "making sense" of the environment. Moreover, because the research draws on existing studies of infant vision and infant social interaction, it places the study of language development in a broader developmental context. Finally, the research explores the specific kinds of input that maximize learning. Therefore, it has the potential to ultimately inform how we present linguistic and other information to infants, school children, and even adults in order to result in the best possible learning in the shortest possible time.
婴儿和儿童非常擅长学习语言,实际上比他们的父母熟练得多。直到最近,两种理论还在相互竞争地解释幼儿的语言学习技能。在一种观点中,婴儿和儿童就像海绵,吸收了他们环境的每一个细节,包括语言环境。在一种相反的观点中,婴儿出生时已经具备了人类语言(或语法)的范围,这些语言(或语法)已经“内置”了。他们的语言环境只允许他们选择他们母语的特定语法,例如将使用什么语音,动词是出现在句子的中间还是结尾等。最近,第三种观点开始得到支持。这一观点与第一种观点相同,即婴儿和儿童对环境的每一个细节都高度敏感。它赞同第二种观点的立场,即婴儿和儿童以决定其社区的特定语言系统或语法为目标。区分这三种理论的一种方法是最佳语言学习所需的输入数量和种类。第一种“海绵”观点(或联想理论)表明,需要大量的输入,并且无论该输入是由相同示例(类型;例如,多次将狗作为狗的复数来听)还是不同的例子(例如,将狗、猪和马克杯作为它们各自的单数的复数)的许多重复(记号)组成的,这并不重要。第二种“内建语法”观点(或先天领域理论)表明,只需要极少的输入,即使只重复一个例子,对婴儿或儿童来说也足以学习母语的特定组成部分。第三种“寻找语法的海绵”观点(或假设选择理论)认为,学习只需要极少量(例如三个)不同的例子,不同的例子比重复一个例子更有帮助。这个项目将通过询问语言学习所需的输入量来比较这三种理论。它还试图将第三个理论嵌入到一个更现实的人类学习者模型中,通过询问学习是否总是随着例子数量的增加而改善,或者在例子的数量和每个例子的重复次数之间是否存在权衡。这项研究将通过询问人类是否是他们的环境、他们的生物学的反映,或者大脑是否是以及如何是生物大脑的产物,其主要目标是对环境进行“理解”,从而为我们的科学知识做出贡献。此外,由于这项研究借鉴了已有的关于婴儿视觉和婴儿社交的研究,它将语言发展的研究置于更广泛的发展背景下。最后,研究探索了能最大限度地促进学习的特定类型的输入。因此,它有可能最终告诉我们如何向婴儿、学童甚至成年人提供语言和其他信息,以便在尽可能短的时间内实现最佳学习。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

LouAnn Gerken其他文献

LouAnn Gerken的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('LouAnn Gerken', 18)}}的其他基金

Comparing infants' and adults' learning of three types of linguistic generalizations
比较婴儿和成人对三种语言概括的学习
  • 批准号:
    1724842
  • 财政年份:
    2017
  • 资助金额:
    $ 39.41万
  • 项目类别:
    Standard Grant
Doctoral Dissertation Research: Who breaked the rule? Rethinking English Past Tense Overregularizations
博士论文研究:谁打破了规则?
  • 批准号:
    1729862
  • 财政年份:
    2017
  • 资助金额:
    $ 39.41万
  • 项目类别:
    Standard Grant
Doctoral Dissertation Research: When is Phonetic Variation Helpful for Word Learning?
博士论文研究:语音变异何时有助于单词学习?
  • 批准号:
    1348451
  • 财政年份:
    2014
  • 资助金额:
    $ 39.41万
  • 项目类别:
    Standard Grant
Dissertation Research: Using Acoustic Data to Infer Linguistic Representations in Three Populations
论文研究:使用声学数据推断三个人群的语言表征
  • 批准号:
    9811449
  • 财政年份:
    1998
  • 资助金额:
    $ 39.41万
  • 项目类别:
    Standard Grant
Effects of Prosody and Lexical Familiarity on Perceptual and Accoustic Measures of Young Children
韵律和词汇熟悉度对幼儿感知和听觉测量的影响
  • 批准号:
    9709774
  • 财政年份:
    1997
  • 资助金额:
    $ 39.41万
  • 项目类别:
    Continuing Grant
Prosody and Function Morphemes in Early Language Acquisition
早期语言习得中的韵律和功能语素
  • 批准号:
    9696072
  • 财政年份:
    1995
  • 资助金额:
    $ 39.41万
  • 项目类别:
    Continuing Grant
Children's Representation of Linguistic Stress and Function Morphemes in Early Language Acquisition (REU Supplement)
早期语言习得中儿童对语言压力和功能语素的表征(REU 补充)
  • 批准号:
    9120952
  • 财政年份:
    1992
  • 资助金额:
    $ 39.41万
  • 项目类别:
    Standard Grant

相似海外基金

Does deformation lead to misinformation? How much can granitic rocks deform before accessory minerals are geochemically disturbed?
变形会导致错误信息吗?
  • 批准号:
    2342159
  • 财政年份:
    2024
  • 资助金额:
    $ 39.41万
  • 项目类别:
    Standard Grant
How much CO2 can we sequester within our roads?
我们可以在道路中封存多少二氧化碳?
  • 批准号:
    2886395
  • 财政年份:
    2023
  • 资助金额:
    $ 39.41万
  • 项目类别:
    Studentship
"She must not know much about that": Children's inferences based on others' listener design
“她一定对此了解不多”:孩子们根据别人的听众设计做出的推断
  • 批准号:
    2317559
  • 财政年份:
    2023
  • 资助金额:
    $ 39.41万
  • 项目类别:
    Standard Grant
Construction and verification of coach support system for manufacturing sites with much personal tacit knowledge
个人隐性知识较多的制造现场教练支持系统的构建与验证
  • 批准号:
    23K02695
  • 财政年份:
    2023
  • 资助金额:
    $ 39.41万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
CIF: Small: How Much of Reinforcement Learning is Gradient Descent?
CIF:小:强化学习中有多少是梯度下降?
  • 批准号:
    2245059
  • 财政年份:
    2023
  • 资助金额:
    $ 39.41万
  • 项目类别:
    Standard Grant
From shrink to stretch: making sheet-metal parts with much less scrap
从收缩到拉伸:以更少的废料制造钣金零件
  • 批准号:
    2891570
  • 财政年份:
    2023
  • 资助金额:
    $ 39.41万
  • 项目类别:
    Studentship
Understanding why mammalian eggs have so much mitochondrial DNA
了解为什么哺乳动物的卵子有如此多的线粒体 DNA
  • 批准号:
    DP230103127
  • 财政年份:
    2023
  • 资助金额:
    $ 39.41万
  • 项目类别:
    Discovery Projects
Do regional climate models rain too much?
区域气候模型是否降雨过多?
  • 批准号:
    FT210100459
  • 财政年份:
    2022
  • 资助金额:
    $ 39.41万
  • 项目类别:
    ARC Future Fellowships
Superconducting scanner magnet for much lower cost, compact proton therapy systems
超导扫描仪磁体可实现成本更低的紧凑型质子治疗系统
  • 批准号:
    10546708
  • 财政年份:
    2022
  • 资助金额:
    $ 39.41万
  • 项目类别:
CAREER: Microbial Activity and Chemoautotrophy in the Deep Sea: Who, How, and How Much?
职业:深海微生物活动和化能自养:谁、如何以及多少?
  • 批准号:
    2143035
  • 财政年份:
    2022
  • 资助金额:
    $ 39.41万
  • 项目类别:
    Continuing Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了