CAREER: Rational Language Processing with Uncertain and Noisy Input

职业：具有不确定性和噪声输入的理性语言处理

• 批准号: 0953870
• 负责人: Roger Levy
• 金额: $ 50.15万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-04-15 至 2016-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0953870&HistoricalAwards=false
• 关键词: CAREER; Rational; Language; Processing; Uncertain; CAREER; Rational; Language; Processing; Uncertain

This CAREER award investigates how humans integrate a wide variety of information sources to achieve rapid, accurate natural language comprehension subject to the physical and cognitive constraints under which it takes place. The project's primary empirical focus is on reading, a mode of information exchange of unexceeded importance in literate societies. Reading involves a rapid sequence of targeted eye movements throughout a text -- recordable through modern eye-tracking technology -- from which noisy sensory input are obtained and integrated with prior knowledge to resolve perceptual and linguistic uncertainty. The central goal of this project is thus to develop, implement, and test a computational model of language comprehension and eye movement control in reading built on principles of probabilistic inference and rational action, using the tools of natural language processing (NLP) technology, reinforcement learning, and behavioral psycholinguistic experimentation.The success of this project is likely to have major impact in the field of human sentence processing, bringing a new level of nuance and detail to both theory and data analysis, and will bear on broad current debates in cognitive science regarding rationality in cognition. Additionally, the results of this basic research project have a wide range of potential applications ranging from intelligent tutoring technology to language-impairment diagnosis to cognitive ergonomics. Together with this research program, the project involves an educational program including a new textbook on probabilistic models in the study of language, new undergraduate and graduate courses, and tutorials and courses on computational psycholinguistics at major conferences and summer institutes.This CAREER award is co-funded by two directorates:: CISE/IIS and SBE/BCS.

该职业奖调查了人类如何将各种信息源整合起来，以实现其发生的物理和认知约束，以实现快速，准确的自然语言理解。 该项目的主要经验重点是阅读，这是一种在识字社会中不受欢迎重要性的信息交换方式。 阅读涉及在整个文本中快速的靶向眼动运动 - 可通过现代眼睛追踪技术记录 - 从中​​可以从中获得嘈杂的感觉输入并与先验知识相结合，以解决知觉和语言不确定性。 因此，该项目的核心目标是使用自然语言处理工具（NLP）技术，加强学习和行为心理语言学实验的工具，开发，实施和测试阅读中语言理解和眼动控制的计算模型，构建了构建的阅读原理和理性行动。关于认知理性的认知科学的广泛辩论。此外，该基础研究项目的结果具有广泛的潜在应用，从智能辅导技术到语言障碍诊断到认知人体工程学。该项目与该研究计划一起涉及一项教育计划，包括一本有关语言，新本科和研究生课程的概率模型的新教科书，以及主要会议和夏季学院的计算心理语言学的教程和课程。这两个董事级由两个董事级的职业奖。