Information distribution and language structure - correlation of grammatical expressions of the noun/verb distinction and lexical information content in Tagalog, Indonesian and German

信息分布与语言结构——他加禄语、印尼语和德语中名词/动词区别的语法表达与词汇信息内容的相关性

• 批准号: 442315837
• 负责人: Professor Dr. Gerhard Heyer
• 金额: --
• 依托单位: Sächsische Akademie der Wissenschaften zu Leipzig
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2020
• 资助国家: 德国
• 起止时间: 2019-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/442315837?language=en
• 关键词: Information; distribution; language; structure; correlation

The topic is the manifestation of variability in the formal differentiation of word types at the discourse level: Does the different formal expression of the noun/verb distinction correlate with differences in the information content of the word forms? The prediction is that linguistic information is distributed differently in languages with weak formal differences between nouns and verbs than in languages with strong formal differences. In this project, Tagalog (low N / V distinction), German (strong N / V distinction) and Indonesian (intermediate position) will be compared.The methodology is to classify word forms on the basis of their information content into default (i.e. expectable) and non-default (i.e. surprising) forms and to check correlations with grammatically definable classes.The technological output is an analysis tool with the implementations of information theory-concepts.

主题是话语级别的单词类型形式分化中的可变性表现：名词/动词区别的不同形式表达是否与单词形式的信息内容的差异相关？预测是，语言信息在名词和动词之间具有较弱正式差异的语言中的分布方式与具有正式差异的语言相比。 In this project, Tagalog (low N / V distinction), German (strong N / V distinction) and Indonesian (intermediate position) will be compared.The methodology is to classify word forms on the basis of their information content into default (i.e. expectable) and non-default (i.e. surprising) forms and to check correlations with grammatically definable classes.The technological output is an analysis tool with the implementations of information theory-concepts.