The Evolution of Complex Text Patterns:Development and Application of a corpus-linguistic Approach for Analysis of Diachronic Change of Text Patterns in its Multidimensionality
The Evolution of Complex Text Patterns:Development and Application of a corpus-linguistic Approach for Analysis of Diachronic Change of Text Patterns in its Multidimensionality
批准号:
417702242
负责人:
Privatdozent Dr. Alexander Geyken
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2019
资助国家:
德国
项目状态:
已结题
起止时间:
2018-12-31 至 2022-12-31
中文摘要
这里提出的项目的目标是确定合适的指标的历时变化的文本模式的基础上,在最近的语言历史上两个高度相关的体裁(报纸和宗教文学)。尽管文本模式的历时变化在语言史上具有相当重要的意义,但迄今为止,人们只对非常小的文本样本进行了研究,特别是对于本文所讨论的文本类型。因此,在前期工作中,我们提出了一个描述语篇模式历时变化的模型,该模型借鉴了已有的语言学指标(偏好语法结构等)的研究成果,并在此基础上提出了一个基于语料库的系统测试、调整和进一步发展的多维模型。用于文本类型的表征。这些具体指标将在拟议项目的过程中以大量文本为基础加以核实。在这样做的过程中,所提出的模型将以这样一种方式运作,即自动和手动文本分析以及定量和定性检查相互交织,相互informationanother.Conspecially,我们建议在这里系统地调查模式的结构,功能,社会和文体层面的文本。由于与这些维度相关的模式可以部分地从文本表面获得,因此我们可以利用传统的计算语言分析工具的结果。此外,我们计划在自动方法无法可靠提取特征的地方(特别是历史文本)应用手动注释。提取的特征将进行统计分析,这种定量方法的结果将被验证,并解释在一个定性的方法的基础上的实际文本来源。与此相反,作为定性分析结果的手工注释将被定量方法所利用。该作品将一方面基于报纸,另一方面基于宗教文学,从而包括两种在当时广泛的读者中在日常生活中牢固确立的类型。正在考虑的语料库的多样性,预计将导致深远的影响,关于一般的文本模式的历时变化的表现形式,从而确保在该项目的过程中开发的技术,进一步的文本类型的分析的适用性。
英文摘要
The project proposed here targets the identification of suitable indicators for diachronic change of text patterns based on two highly relevant genres in recent language history (newspapers and devotional literature). Despite its considerable importance for the history of language, diachronic change of text patterns has thus far only been examined with respect to very small text samples, particularly for the text types under consideration here. Therefore, in the course of preliminary work we developed a model for the description of diachronic change of text patterns, which we now propose to systematically test, adapt, and further develop in a corpus-based approach.This underlying multi-dimensional model draws on existing research results regarding linguistic indicators (prefered grammatical structures etc.) for the characterisation of text types. These specific indicators are to be verified with respect to a large text basis in the course of the proposed project. In doing so, the proposed model will be operationalised in such a way that automatic and manual text analysis as well as quantitative and qualitative examination intertwine and mutually inform one another.Concretely, we propose here to systematically investigate patterns of the structural, functional, social, and stylistic dimensions of texts. Since patterns associated with these dimensions can partly be acquired from the textual surface, we can draw on the results of conventional computational linguistic analysis tools. In addition, we plan to apply manual annotation wherever features cannot yet be reliably extracted with automatic methods (especially for historical texts). The extracted features will undergo statistical analysis and the results of this quantitative method will then be verified and interpreted in a qualitative approach based on the actual text sources. Conversely, the manual annotations being results of qualitative analyses will be exploited with quantitative methods.The work will be based on newspapers on the one hand, and devotional literature on the other hand, thus including two genres which had a firmly established place in everyday life for a wide range of recipients in their time. The variety of the corpora under consideration is expected to lead to far-reaching results regarding the manifestations of diachronic change of text patterns in general, thus ensuring the applicability of the techniques developed in the course of the project to the analysis of further text types.
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EVIDENCE: computer-assisted interactive extraction of good dictionary examples from large corpora
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批准号:433249742
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项目类别:Research data and software (Scientific Library Services and Information Systems)
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资助金额:$0.0万
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财政年份:2019
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负责人:Privatdozent Dr. Alexander Geyken
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依托单位:
Digital Collection German Colonialism - Establishment of a digital collection of texts and integration in the research Infrastructure CLARIN-D
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批准号:324473798
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项目类别:Cataloguing and Digitisation (Scientific Library Services and Information Systems)
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资助金额:$0.0万
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财政年份:2017
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负责人:Privatdozent Dr. Alexander Geyken
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依托单位:
国内基金
海外基金
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