Information Structure and Questions in Urdu/Hindi
乌尔都语/印地语的信息结构和问题
基本信息
- 批准号:276392517
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Units
- 财政年份:2016
- 资助国家:德国
- 起止时间:2015-12-31 至 2020-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project investigates questions in Urdu/Hindi by taking into accountinformation-structural considerations as well as intonational/prosodic information in addition to building on what is known about the morphosyntactic structure of questions in Urdu/Hindi. The project will focus on understanding interface issues with respect to non-canonical questions, i.e., on understanding how a given meaning is brought about compositionally via the interaction of several different components of grammar: prosodic phonology and the morphosyntax. The empirical phenomena to be studied involve: 1) varying word orders of wh-elements; 2) question particles in polar (yes/no) questions; 3) alternative questions;4) questions in interaction with embedded clauses. The formal modeling and analysis takes place within the architectural assumptions of Lexical-Functional Grammar (LFG), which also comes with a computational grammar development platform. We implement our insights and analyses computationally in order to systematically test the details of the interaction at the interfaces of grammar modules with respect to non-canonical questions.
这个项目调查乌尔都语/印地语的问题,除了建立在乌尔都语/印地语疑问句的形态句法结构的已知基础上,还考虑到信息结构的考虑以及语调/韵律信息。该项目将侧重于理解与非规范问题有关的接口问题,即理解给定的意义是如何通过几个不同的语法组成部分:韵律音位和形态句法的相互作用而产生的。所要研究的经验现象包括:1)wh成分的语序变化;2)极(是/否)疑问句中的疑问词;3)选择疑问句;4)与嵌入从句相互作用的疑问句。形式化建模和分析是在词汇功能语法(LFG)的体系结构假设下进行的,LFG还附带一个计算语法开发平台。我们通过计算实现我们的洞察和分析,以便系统地测试关于非规范问题的语法模块界面上的交互细节。
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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Professorin Dr. Miriam Butt其他文献
Professorin Dr. Miriam Butt的其他文献
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{{ truncateString('Professorin Dr. Miriam Butt', 18)}}的其他基金
Visual Analytics and Linguistics for Interpreting Deliberative Argumentation (VALIDA)
用于解释协商论证的视觉分析和语言学(VALIDA)
- 批准号:
376714276 - 财政年份:2017
- 资助金额:
-- - 项目类别:
Priority Programmes
Generating Linguistic Insights in Question Classification throughCombining Explainable Machine Learning and Visualization
通过结合可解释的机器学习和可视化来生成问题分类中的语言见解
- 批准号:
276395906 - 财政年份:2016
- 资助金额:
-- - 项目类别:
Research Units
Visual Analysis of Language Change and Use Patterns
语言变化和使用模式的可视化分析
- 批准号:
218458885 - 财政年份:2013
- 资助金额:
-- - 项目类别:
Research Grants
Computerlinguistische Implementierung einer großen, robusten Grammatik für Urdu/Hindi im Kontext paralleler Grammatikentwicklung
在并行语法开发的背景下,大型、稳健的乌尔都语/印地语语法的计算语言实现
- 批准号:
77719491 - 财政年份:2009
- 资助金额:
-- - 项目类别:
Research Grants
CUEPAQ: Visual Analytics and Linguistics for Capturing, Understanding, and Explaining Personalized Argument Quality
CUEPAQ:用于捕获、理解和解释个性化论证质量的视觉分析和语言学
- 批准号:
455910360 - 财政年份:
- 资助金额:
-- - 项目类别:
Priority Programmes
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