Conference: Socially Situated Language Processing: Special Sessions at the Human Sentence Processing 2024 Conference
Conference: Socially Situated Language Processing: Special Sessions at the Human Sentence Processing 2024 Conference
批准号:
2314725
负责人:
Jonathan Brennan
金额:
$6.24万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
已结题
起止时间:
2023-08-15 至 2024-07-31
中文摘要
关于人们如何产生和理解语言的研究通常集中在社会背景很少的情况下,例如在高度控制的环境中阅读段落和回答问题。但人类在各种各样的社交场合中使用语言,与年龄、种族/民族、社会阶层等因素不同的其他人一起使用语言。这些因素影响人类使用语言的方式。该奖项支持人类句子处理协会 (SHSP) 2024 年会议上举行的特别会议,该会议汇集了心理学家、语言学家、神经科学家和计算机科学家,以揭示人类大脑如何在社会丰富和多样化的情况下理解语言。 SHSP 是研究语言使用中涉及的心理过程的首屈一指的科学组织,本次特别会议有助于吸引更多不同的学者进入该领域,这些学者的参与对于推进这一令人兴奋的科学至关重要。本次会议以主题演讲为基础,解决以下问题:社会信息如何影响语言理解、产生和习得?当语言在社会多元化社区之间进行实践时,语言处理研究人员如何才能更直接地参与其中?这些活动和其他活动通过将预测处理和记忆检索等认知机制与来自更自然和多样化背景的新视角联系起来,扩大了句子处理研究的影响。该会议促进了所调查的语言品种和语言社区的扩大,包括刚刚开始在语言处理研究中受到关注的少数品种。这些努力通过旅费补助和对少数族裔服务机构的推广工作,促进了参加会议的初级科学家的跨学科培训。特别会议还有助于扩大 STEM 渠道的多样性;以多元化社区为中心的研究促进了多元化学者的研究,吸引了更多多元化的学生,并为不同背景的学者之间的合作提供了机会。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Research on how people produce and understand language has usually focused on situations with little social context, such as reading paragraphs and answering questions in highly controlled settings. But humans use language in an immense variety of social situations with others who differ from each other in factors like age, race/ethnicity, social class and more. These factors affect how humans use language. This award supports a special session at the 2024 meeting of the Society for Human Sentence Processing (SHSP) that brings together psychologists, linguists, neuroscientists and computer scientists to uncover how the human mind makes sense of language in socially rich and diverse situations. SHSP is a premiere scientific organization for the study of the mental processes involved in language use, and this special session helps to attract a more diverse set of scholars to the field—scholars whose participation is crucial for advancing this exciting science.The session is anchored by keynote presentations addressing questions such as: How does social information influence language understanding, production, and acquisition? How can language processing researchers engage more directly with language as it is practiced by and between socially diverse communities? These and other activities broaden the impact of sentence processing research by linking cognitive mechanisms, such as predictive processing and memory retrieval, with new perspectives from more natural and diverse contexts. The session promotes an expansion of the language varieties and language communities under investigation, including minoritized varieties that are only beginning to receive attention in language processing research. These efforts facilitate interdisciplinary training for junior scientists attending the conference through travel grants and outreach efforts to minority-serving institutions. The special session also contributes to broadening diversity in the STEM pipeline; centering research in diverse communities promotes the research of diverse scholars, attracts more diverse students, and offers opportunities for collaborations between scholars of different backgrounds.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
US-French Collaboration: Collaborative Research: Neuro-Computational Models of Natural Language
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批准号:1607251
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项目类别:Continuing Grant
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资助金额:$29.22万
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财政年份:2016
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负责人:Jonathan Brennan
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依托单位:
海外基金