Validity of German regional dialect markers for authorship profiling

不同司法管辖区的警察和法院案件涉及了解一段文字的作者是谁。作者身份分析（AA）的法医语言学学科试图通过从他们的写作中推断作者的特征来回答这个问题（Juola 2007）。这是基于这样一个假设，即每一种语言的使用都体现了其生产者或他们的背景的特点（Coulthard &约翰逊，2007）。因此，语言可以通过推断作者的背景信息来描述作者，例如性别或年龄（Argamon et al. 2007）。然而，对作者的区域背景进行剖析在文献中受到的关注有限（Shuy 2001），特别是在法医学方面（Chambers 1990）。此外，关于AA的研究更普遍地主要集中在英语上（Shuy 2007）。因此，我的重点将是在何种程度上，区域方言的功能是有用的，用于分析用德语写的简短的在线通信的作者的区域背景。这将有助于推进作者身份分析和法律语言学的最佳实践。我的研究目标是：-分析德语地区方言特征的文本化是否足以进行在线交流的地区分析-确定德语中最好的地区方言特征，以确定作者的地区背景-提供一个支持AA德语地区分析的程序这个项目将利用先前的位置分析与方言变化来预测位置（Scheffler et al. 2014）。我将根据传统德国方言学中的类似研究确定一组用于区域分类的语言特征，包括东/西和北/南之间的广泛词汇区别（Niebaum & Macha 2014）和地名词典术语（Han et al. 2014），以及区域变体的语法和语音文本化（Herrgen 2019）。然后，这些语言标记将用于对社交媒体通信中的一组本地化帖子进行区域分类（Hovy & Purschke 2018）。结果将使我能够开发一个程序的最佳实践在作者分析的情况下。最终，这个项目将有明确的机会，社会影响。寻找在线通信的作者是调查机构的日常任务。作者分析，特别是区域特征，可以支持和促进这些任务。制定一个具有已知可靠率的最佳做法程序将大大有利于这些法医调查。我的研究结果可以直接应用于德国的著作权分析和著作权分析的情况下，并帮助发现恶意在线通信的作者。

Police and court cases in different jurisdictions involve understanding who the author of a piece of text is. The forensic linguistic discipline of authorship analysis (AA) tries to answer this question by inferring characteristics of authors from their writing (Juola 2007). This is based on the assumption that every use of language manifests the characteristics of its producer or their backgrounds (Coulthard & Johnson 2007). Language can therefore be used to profile an author by inferring information about the background of the author, e.g. gender or age (Argamon et al. 2007). However, profiling the regional background of an author has received limited attention in the literature (Shuy 2001), especially in a forensic context (Chambers 1990). Additionally, research on AA more generally has been predominantly on English (Shuy 2007). Thus, my focus will be on the degree to which regional dialect features are useful for profiling the regional background of authors of short online communications written in German. This will help advancethe best practices for authorship profiling and in forensic linguistics.My research goals are:- Analysing whether the textualisation of regional dialect features in German is sufficient to allow for regional profiling of online communication- Identifying the best regional dialect features in German for pinpointing the regional background of authors- Providing a procedure for supporting the regional profiling of German in AAThis project will utilise prior location analyses working with dialectal variation to predict location (Scheffler et al. 2014). I will identify a set of linguistic features for regional classification based on similar research in traditional German dialectology, including broad lexical distinctions between east/west and north/south (Niebaum & Macha 2014) and Gazetteer terms (Han et al. 2014), as well as grammatical and phonological textualisation of regional varieties (Herrgen 2019). These language markers will then be used to regionally classify a set of localised postings from social media communications (Hovy & Purschke 2018). The results will enable me to develop a procedure for best practice in authorship profiling cases.Ultimately, this project will have clear opportunity for societal impact. Finding the author of online communication is an everyday task for investigating agencies. Authorship profiling, especially for regional characteristics, can support and facilitate these tasks. Developing a procedure for best practice with known reliability rates would greatly benefit these forensic investigations. My research findings can be directly applied to cases of German authorshipanalysis and authorship profiling and help find authors of malicious online communication.