Incremental interpretation of case and prominence

对案例和重要性的增量解释

• 批准号: 5445311
• 负责人: Professor Dr. Matthias Schlesewsky
• 金额: --
• 依托单位: Department of Linguistics (aufgelöst)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2005
• 资助国家: 德国
• 起止时间: 2004-12-31 至 2007-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/5445311?language=en
• 关键词: Incremental; interpretation; case; prominence

The aim of this project is to measure, describe, explain, formalize, and predict the effects of case morphology, word order, and semantic prominence features on the incremental interpretation of the arguments for transitive relations. We hypothesize that these effects can be characterized in terms of a model of incremental (online) optimisation. This is done by linking the time-insensitive model of Optimality Theoretic interpretation of case that is being developed by the Dutch partner to the time-sensitive Argument Dependency Model of sentence processing that is being explored by the German partner. In particular, the different "processing pathways" proposed in the Argument Dependency Model are argued to be direct reflections of the incremental optimisation effects of interpretive constraints on word order and control features of argument noun phrases. The languages that will function as test cases for the new model of incremental optimisation of interpretation are Hindi, Turkish, and Dutch.

该项目的目的是测量、描述、解释、形式化和预测格形态、词序和语义突出特征对传递关系论证的增量解释的影响。我们假设这些影响可以用增量（在线）优化模型来表征。这是通过将荷兰合作伙伴正在开发的案例最优理论解释的时间不敏感模型与德国合作伙伴正在探索的句子处理的时间敏感参数依赖模型联系起来来完成的。特别是，参数依赖模型中提出的不同“处理路径”被认为是解释约束对参数名词短语的词序和控制特征的增量优化效果的直接反映。将充当增量解释优化新模型测试用例的语言是印地语、土耳其语和荷兰语。