Probabilistic Modelling of pragmatic processing and utterance production
语用处理和话语产生的概率建模
基本信息
- 批准号:255018494
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Priority Programmes
- 财政年份:2014
- 资助国家:德国
- 起止时间:2013-12-31 至 2022-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Speakers and hearers often manage to communicate swiftly and efficiently despite tremendous uncertainty. Each interlocutor may be uncertain about what the other wants, believes or considers important. Probabilistic pragmatics is a formal approach to this problem of uncertain interaction, which builds on insights from epistemic logic and game theory but is flexible enough to accommodate in probabilistic cognitive models assumptions about natural cognitive mechanisms, biases and resource limitations that conversationalists may have. A dedicated and growing number of researchers have invested in probabilistic pragmatics, showing that conceptual problems can be solved in this framework and that it allows for an astonishingly good fit to experimental data, including soft, fuzzy and gradient aspects of empirical reality.Our work in the first phase of this priority program has contributed to establishing probabilistic pragmatics as a serious tool for investigating the connection between formal linguistic theory and experimental data. In particular, we have investigated the use and interpretation of referential expressions and vague quantifying expressions, mostly focusing on /some/, /many/ and /few/. The second phase of this project would stick with these domains of inquiry in order to address two general issues with probabilistic pragmatics that have not received sufficient attention so far: (i) processing and (ii) natural, free utterance production.Most importantly, while probabilistic pragmatics has been successfully applied to the modeling of choice behavior in psycholinguistic experiments (i.e., to the outcome of pragmatic deliberation or processing), no model from this framework has approached data related to incremental processing. The second phase of this project therefore proposes an approach to probabilistic modeling of data from self-paced reading tasks and eye-tracking in visual worlds, based on a scheme of predictive, incremental and (approximately) ideal interpretation.Another pressing issue with probabilistic pragmatics models concerns their scalability. In the second phase of this project, we will therefore look at more complex situations which interlocutors might wish to communicate about. We also manipulate why or for what purpose interlocutors may wish to talk about a situation. In particular, we propose to extend probabilistic modeling to cover cases of argumentative discourse, where the speaker makes an utterance that is to persuade the listener of a particular goal proposition. In all this, we will gather data from (semi-)free production tasks and seek to supply models of utterance production that can account for the rich and possibly open-ended nature of such data.
尽管存在巨大的不确定性,说话者和听话者往往能够迅速有效地沟通。每个对话者可能不确定对方想要什么、相信什么或认为什么重要。概率语用学是一个正式的方法来解决这个问题的不确定的互动,它建立在认识论逻辑和博弈论的见解,但足够灵活,以适应概率认知模型的假设自然的认知机制,偏见和资源的限制,会话者可能有。越来越多的研究人员投入到概率语用学中,表明概念问题可以在这个框架中得到解决,并且它可以非常好地拟合实验数据,包括软,经验现实的模糊和梯度方面。我们在这个优先计划的第一阶段的工作有助于建立概率语用学作为一个严肃的工具,调查正式之间的联系,语言理论和实验数据。特别是,我们研究了指称表达和模糊量化表达的使用和解释,主要集中在/一些/,/许多/和/少数/。该项目的第二阶段将坚持这些领域的调查,以解决两个普遍的问题与概率语用学尚未得到足够的重视,迄今:(i)处理和(ii)自然,自由的话语生产。最重要的是,虽然概率语用学已成功地应用于心理语言学实验中的选择行为建模(即,实际审议或处理的结果),没有模型从这个框架已经接近数据有关的增量处理。因此,本项目的第二阶段提出了一种方法,从自定进度的阅读任务和眼动跟踪在视觉世界中的数据的概率建模,基于预测,增量和(近似)理想的interpretation.Another紧迫的问题与概率语用模型关注其可扩展性。因此,在本项目的第二阶段,我们将研究对话者可能希望交流的更复杂的情况。我们还操纵对话者为什么或为了什么目的可能希望谈论一种情况。特别是,我们建议扩展概率建模以涵盖争论性话语的情况,其中说话者的话语是为了说服听众接受特定的目标命题。在所有这一切中,我们将从(半)自由生产任务中收集数据,并寻求提供话语生产模型,这些模型可以解释这些数据的丰富性和可能的开放性。
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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Professor Dr. Michael Franke其他文献
Professor Dr. Michael Franke的其他文献
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{{ truncateString('Professor Dr. Michael Franke', 18)}}的其他基金
Modelling the Use of Quantifiers in Typical and Atypical Speakers Probabilistically
对典型和非典型说话者中量词的使用进行概率建模
- 批准号:
367130212 - 财政年份:2017
- 资助金额:
-- - 项目类别:
Priority Programmes
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