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"Dem Manne kann geholfen werden" Wann kommt das Dativ-e zum Einsatz? (Einem Freunde zur Erquickung)
(2012)
In meiner 2010 erschienenen Dissertation „Migration, Sprache und Rassismus“ habe ich mit ethnografischen, gesprächsanalytischen und -rhetorischen Methoden den Kommunikationsstil von zwei akademischen Migrantenmilieus(„emanzipatorische Migranten“ und „akademische Europatürken“) in Deutschland untersucht. Die Studie war Teil des Projekts „Deutschtürkische Sprachvariation und die Herausbildung kommunikativer Stile in dominant türkischen Migrantengruppen“, das am Institut für Deutsche Sprache durchgeführt wurde.
"wer ich bin? dein schlimmster alptraum, baby!" Cybermobbing - ein Thema für den Deutschunterricht
(2012)
This paper presents the application of the <tiger2/> format to various linguistic scenarios with the aim of making it the standard serialisation for the ISO 24615 [1] (SynAF) standard. After outlining the main characteristics of both the SynAF metamodel and the <tiger2/> format, as extended from the initial Tiger XML format [2], we show through a range of different language families how <tiger2/> covers a variety of constituency and dependency based analyses.
A key difference between traditional humanities research and the emerging field of digital humanities is that the latter aims to complement qualitative methods with quantitative data. In linguistics, this means the use of large corpora of text, which are usually annotated automatically using natural language processing tools. However, these tools do not exist for historical texts, so scholars have to work with unannotated data. We have developed a system for systematic iterative exploration and annotation of historical text corpora, which relies on an XML database (BaseX) and in particular on the Full Text and Update facilities of XQuery.
We present a gold standard for semantic relation extraction in the food domain for German. The relation types that we address are motivated by scenarios for which IT applications present a commercial potential, such as virtual customer advice in which a virtual agent assists a customer in a supermarket in finding those products that satisfy their needs best. Moreover, we focus on those relation types that can be extracted from natural language text corpora, ideally content from the internet, such as web forums, that are easy to retrieve. A typical relation type that meets these requirements are pairs of food items that are usually consumed together. Such a relation type could be used by a virtual agent to suggest additional products available in a shop that would potentially complement the items a customer has already in their shopping cart. Our gold standard comprises structural data, i.e. relation tables, which encode relation instances. These tables are vital in order to evaluate natural language processing systems that extract those relations.