Speech representation - A literary and linguistic corpus study

语音表征 - 文学和语言语料库研究

• 批准号: 322751860
• 负责人: Dr. Annelen Brunner
• 金额: --
• 依托单位: Institut für Deutsche Philologie
• 依托单位国家: 德国
• 项目类别: Research Grants
• 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: https://gepris.dfg.de/gepris/projekt/322751860?language=en
• 关键词: Speech; representation; literary; linguistic; corpus

Goals of the project are developing automatic methods for the recognition of speech representation and, on the basis of their results, conducting literary and linguistic analyses of speech representation patterns and usage. The project will show how methods of Digital Humanities lead to a stronger convergence of literary and linguistic studies, without abandoning research interests specific to the disciplines. Methodological focus lies on developing (semi-)automatic computational and corpus linguistic strategies which are applied to a corpus of novels, newspapers and periodicals (temporal focus: 1841- 1918). These texts are already available in digital format and only need to be adapted for the corpus. The project can build upon an existing prototype for recognizing speech representation that uses rule-based methods and machine learning and is implemented in an established programming framework (UIMA). Based on a manual annotation of part of the corpus, this prototype will be improved and enhanced. Upon completion of the project the recognizer as well as the manually annotated corpus texts will be made available to the scientific community. Thus, the project contributes to the development of NLP tools for the automatic annotation of large corpora. The recognizer will generate quantitative data that allows for the first time a narratological and linguistic study of speech representation on a broad empirical basis. This data gives us a chance to approach several open research questions from the fields of linguistics and literary studies. Apart from the historical dimension, the influence of different text types (newspaper texts - fiction - magazines) and the distinction between 'high' and 'popular' literature are of particular interest. Key theoretical research questions are: 1) The diachronic and text-type dependent development of the four types of speech representation - direct, free indirect, indirect and reported representation; 2) the diachronic and text-type dependent development of inquit formula from a lexical and structural perspective; 3) speech representation verbs as an example for mechanisms of linguistic change. By working on those questions, the project contributes to theory construction in narratology, text type/genre studies and studies of lexical argument structures.

该项目的目标是开发语音表示识别的自动方法，并在其结果的基础上，对语音表示模式和用法进行文学和语言学分析。该项目将展示数字人文学科的方法如何导致文学和语言学研究的更强融合，而不放弃特定学科的研究兴趣。方法的重点在于发展（半）自动计算和语料库语言学策略，适用于小说，报纸和期刊（时间焦点：1841- 1918）的语料库。这些文本已有数字格式，只需要为语料库进行调整即可。该项目可以建立在现有的原型上，用于识别语音表示，该原型使用基于规则的方法和机器学习，并在已建立的编程框架（UIMA）中实现。在对部分语料进行人工标注的基础上，对该原型进行了改进和提高。项目完成后，识别器以及人工注释的语料库文本将提供给科学界。因此，该项目有助于开发用于大型语料库自动注释的NLP工具。该识别器将产生定量数据，允许第一次在广泛的经验基础上的语音表示的叙事学和语言学研究。这些数据使我们有机会接近语言学和文学研究领域的几个开放性研究问题。除了历史的维度，不同的文本类型（报纸文本-小说-杂志）的影响和“高”和“流行”文学之间的区别特别感兴趣。主要的理论研究问题是：1）直接、自由间接、间接和转述四种言语表征类型的历时和文本类型依赖性发展; 2）从词汇和结构的角度看询问公式的历时和文本类型依赖性发展; 3）言语表征动词作为语言变化机制的一个例子。通过对这些问题的研究，该项目有助于叙事学的理论建设、文本类型/体裁研究和词汇论元结构研究。

项目成果

Das Redewiedergabe-Korpus. Eine neue Ressource

语音再现语料库新资源

• DOI: 10.5281/zenodo.4622037
• 发表时间: 2019
• 作者: Brunner;Annelen ; Weimer;Lukas ;Ngoc Duyen Tanja ; Engelberg;Stefan ; Jannidis
• 通讯作者: Jannidis