IGERT Formal Proposal: Problem-centered research training: Integrating formal and empirical methods in the cognitive science of language
IGERT 正式提案:以问题为中心的研究培训:在语言认知科学中整合形式和经验方法
基本信息
- 批准号:9972807
- 负责人:
- 金额:$ 265.34万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:1999
- 资助国家:美国
- 起止时间:1999-08-01 至 2006-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This Integrative Graduate Education and Research Training (IGERT) award supports the establishment of a multidisciplinary graduate training program of education and research in a new paradigm of graduate education: Problem-Centered training, delimited not by the boundaries of an academic discipline, but by the demands of solving a problem. Students are trained in a broad range of research methods derived from a diverse set of traditional disciplines. The general problem targeted by this IGERT program is: "How does the brain achieve its function?" The program focuses on one particularly important cognitive function: language. Basic research on language has long-term implications for diagnosis and treatment of language-related neurological and learning disorders, for literacy and language education, and for digital language technologies. The computational framework of cognitive science allows the problem to be formulated more precisely: What are the representational structures, processing algorithms, and learning algorithms underlying our linguistic abilities? How are these representations and algorithms realized in the brain? Studying with internationally recognized leaders at Johns Hopkins, IGERT trainees acquire both theoretical and empirical sophistication through a uniquely multidisciplinary range of research methods: (i) computational and mathematical modeling of language processing and learning, including symbolic methods and neural networks, in a range of linguistic formalisms; (ii) psychological experimentation on adult and infant language processing and learning; (iii) neuroimaging of brain activity during language processing; (iv) grammatical analysis of the language of adults, children, and second-language learners; (v) neuropsychology of language deficits from acquired and developmental neurological damage; and (vi) computational methods of automatic speech and language processing.IGERT is an NSF-wide program intended to facilitate the establishment of innovative, research-based graduate programs that will train a diverse group of scientists and engineers to be well-prepared to take advantage of a broad spectrum of career options. IGERT provides doctoral institutions with an opportunity to develop new, well-focussed multidisciplinary graduate programs that transcend organizational boundaries and unite faculty from several departments or institutions to establish a highly interactive, collaborative environment for both training and research. In this second year of the program, awards are being made to twenty-one institutions for programs that collectively span all areas of science and engineering supported by NSF. This specific award is supported by funds from the Directorates for Social, Behavioral, and Economic Sciences, for Biological Sciences, for Computer and Information Science and Engineering, and for Education and Human Resources.
该综合研究生教育和研究培训(IGERT)奖支持在研究生教育的新范式中建立教育和研究的多学科研究生培训计划:以问题为中心的培训,不是由学科的边界划定,而是由解决问题的需求。学生接受来自各种传统学科的广泛研究方法的培训。IGERT计划针对的一般问题是:“大脑如何实现其功能?“该计划侧重于一个特别重要的认知功能:语言。语言基础研究对语言相关神经和学习障碍的诊断和治疗、识字和语言教育以及数字语言技术具有长期影响。认知科学的计算框架使问题得以更精确地表述:我们的语言能力背后的表征结构、处理算法和学习算法是什么?这些表征和算法是如何在大脑中实现的?IGERT学员在约翰霍普金斯大学与国际公认的领导者一起学习,通过独特的多学科研究方法获得理论和经验上的复杂性:(i)语言处理和学习的计算和数学建模,包括符号方法和神经网络,在一系列语言形式主义中;(ii)成人和婴儿语言处理和学习的心理实验;(iii)语言处理和学习。(iii)语言处理过程中大脑活动的神经成像;(iv)成人、儿童和第二语言学习者语言的语法分析;(v)后天和发展性神经损伤导致的语言缺陷的神经心理学;和(vi)自动语音和语言处理的计算方法。IGERT是一个全国科学基金会范围内的计划,旨在促进建立创新的,以研究为基础的研究生课程,将培养一批多样化的科学家和工程师,为利用广泛的职业选择做好充分准备。IGERT为博士机构提供了一个开发新的,重点突出的多学科研究生课程的机会,这些课程超越了组织界限,并将来自多个部门或机构的教师联合起来,为培训和研究建立一个高度互动,协作的环境。在该计划的第二年,该奖项将颁发给21个机构,这些机构的项目涵盖了NSF支持的所有科学和工程领域。该奖项由社会,行为和经济科学,生物科学,计算机和信息科学与工程以及教育和人力资源局的资金支持。
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)
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Paul Smolensky其他文献
The Interaction of Syntax and Semantics : A Harmonic Grammar Account of Split Intransitivity, in "the Harmonic Mind, from neural computation to optimality-theoretic grammar", (Paul Smolensky & Geraldine Legendre (Eds)), p417-451
句法和语义的相互作用:分裂不及物性的和谐语法解释,在“和谐思维,从神经计算到最优性理论语法”中,(Paul Smolensky 和 Geraldine Legendre(编辑)),p417-451
- DOI:
- 发表时间:
2006 - 期刊:
- 影响因子:0
- 作者:
Geraldine Legendre;Yoshiro Miyata;Paul Smolensky - 通讯作者:
Paul Smolensky
日本語スピード入力検定用Web教材の試作
日语速度输入测试网络教材原型
- DOI:
- 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
Graldine Legendre;Yoshiro Miyata;Paul Smolensky;武岡 さおり;杉村 藍;Masahiro Ozaki;Saori Takeoka;Ai Sugimura;武岡さおり;尾崎正弘;杉村藍;橋本信也;武岡さおり - 通讯作者:
武岡さおり
Web学習における学習支援のための推論アルゴリズムの開発に向けて
开发用于网络学习中的学习支持的推理算法
- DOI:
- 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
Graldine Legendre;Yoshiro Miyata;Paul Smolensky;武岡 さおり;杉村 藍;Masahiro Ozaki;Saori Takeoka;Ai Sugimura;武岡さおり;尾崎正弘;杉村藍;橋本信也;武岡さおり;尾崎 正弘 - 通讯作者:
尾崎 正弘
Problems and a Solution Of CALL in English Learning
CALL在英语学习中存在的问题及解决办法
- DOI:
- 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
Graldine Legendre;Yoshiro Miyata;Paul Smolensky;武岡 さおり;杉村 藍;Masahiro Ozaki;Saori Takeoka;Ai Sugimura - 通讯作者:
Ai Sugimura
自己モニタリングが英語学習に及ぼす効果について(第2報)
论自我监控对英语学习的影响(下)
- DOI:
- 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
Graldine Legendre;Yoshiro Miyata;Paul Smolensky;武岡 さおり;杉村 藍;Masahiro Ozaki;Saori Takeoka;Ai Sugimura;武岡さおり;尾崎正弘;杉村藍;橋本信也;武岡さおり;尾崎 正弘;Masahiro Ozaki;橋本 信也;武岡 さおり;杉村 藍 - 通讯作者:
杉村 藍
Paul Smolensky的其他文献
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{{ truncateString('Paul Smolensky', 18)}}的其他基金
Doctoral Dissertation Research: Compositional Linguistic Generalization in Human and Machine Learning
博士论文研究:人类和机器学习中的组合语言泛化
- 批准号:
2041221 - 财政年份:2021
- 资助金额:
$ 265.34万 - 项目类别:
Standard Grant
INSPIRE Track 1: Gradient Symbolic Computation
INSPIRE Track 1:梯度符号计算
- 批准号:
1344269 - 财政年份:2013
- 资助金额:
$ 265.34万 - 项目类别:
Continuing Grant
IGERT: Unifying the Science of Language
IGERT:统一语言科学
- 批准号:
0549379 - 财政年份:2006
- 资助金额:
$ 265.34万 - 项目类别:
Continuing Grant
Statistical Learning of Linguistic Structure
语言结构的统计学习
- 批准号:
0446929 - 财政年份:2005
- 资助金额:
$ 265.34万 - 项目类别:
Continuing Grant
Learning and Intelligent Systems: Optimization in Language and Language Learning
学习和智能系统:语言和语言学习的优化
- 批准号:
9720412 - 财政年份:1997
- 资助金额:
$ 265.34万 - 项目类别:
Continuing Grant
Integration of Connectionist and Symbolic Computation for Linguistic Modeling
语言建模中联结主义和符号计算的集成
- 批准号:
9596120 - 财政年份:1994
- 资助金额:
$ 265.34万 - 项目类别:
Continuing Grant
Integration of Connectionist and Symbolic Computation for Linguistic Modeling
语言建模中联结主义和符号计算的集成
- 批准号:
9213894 - 财政年份:1993
- 资助金额:
$ 265.34万 - 项目类别:
Continuing Grant
Towards an Integrated Connectionist/Symbolic Theory of Higher Cognition (REU Supplement)
走向更高认知的综合联结主义/符号理论(REU 补充)
- 批准号:
9209265 - 财政年份:1992
- 资助金额:
$ 265.34万 - 项目类别:
Standard Grant
Distributed Processing in Continuous Optical Media
连续光介质中的分布式处理
- 批准号:
8617947 - 财政年份:1987
- 资助金额:
$ 265.34万 - 项目类别:
Standard Grant
Computer-Aided Reasoned Discourse (Computer and Information Science)
计算机辅助推理话语(计算机与信息科学)
- 批准号:
8617383 - 财政年份:1987
- 资助金额:
$ 265.34万 - 项目类别:
Continuing Grant
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