Expressive Content and the Semantics of Contexts

表达内容和语境语义

基本信息

批准号：
0642752
负责人：
Christopher Potts
金额：
$ 21.79万
依托单位：
University of Massachusetts Amherst
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2007
资助国家：
美国
起止时间：
2007-07-01 至 2012-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0642752&HistoricalAwards=false
关键词：
Expressive Content Semantics Contexts

项目摘要

Nearly everything we say carries an undercurrent of information about our feelings and attitudes. This expressive content can be merely suggested, but it is often directly encoded. We have phrases, words, and morphemes (parts of words) for honoring those around us and conveying our approval. We also have, often taboo, phrases, words and morphemes that denigrate, that convey our displeasure. The effects of using these lexical items can be dramatic. They create charged emotional states. They are revealing of the speaker's perspective, and they significantly impact how current and future utterances are perceived. The importance of this content has long been recognized, but it has, until recently, looked utterly foreign from the perspective of linguistic theory.Dr. Potts's research will help change that. The project's overarching goal is to identify expressive content as an important, coherent area of research and to bring together researchers throughout the cognitive sciences to work on the topic. Potts's current results, and his overall approach, square well with the neurological evidence and they are informed by an algorithmic perspective on linguistic meaning. In addition to providing the first major body of research on this topic to the theoretical linguistics community, the work can have an impact in discourse analysis, in law, and in the general public discourse.

我们所说的几乎所有内容都带有有关我们感受和态度的信息。这种表达内容可以仅建议，但通常是直接编码的。我们有短语，单词和词素（单词的一部分），以表彰我们周围的人并传达我们的认可。我们经常有禁忌，短语，言语和词素来传达我们的不满。使用这些词汇项目的影响可能是戏剧性的。他们创造了带电的情绪状态。他们揭示了演讲者的观点，并严重影响了当前和未来的话语。长期以来，这种内容的重要性已得到认可，但直到最近，从语言理论的角度来看，它仍然看起来完全陌生。 Potts的研究将有助于改变这一点。该项目的总体目标是将表达内容识别为重要的，连贯的研究领域，并将整个认知科学的研究人员聚集在一起，以研究该主题。波茨目前的结果及其整体方法与神经学证据保持一致，并以对语言意义的算法观点所告知。除了向理论语言学界提供有关该主题的第一个主要研究，这项工作还可能影响话语分析，法律和公共公共话语。