The data were gathered in Ankara in October 2018. The corpus consists of texts produced by 30 Kurmanji-Turkish speakers. The age of the participants varies between 25 and 37 years old. 

The data was collected using the method \dqt{Language Situations} \pcite{Wiese2020} within the framework of the project RUEG.\footnote{\url{https://www.linguistik.hu-berlin.de/de/institut/professuren/rueg/index.html}}
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The method combines controlled elicitation with spontaneous data, and thus is suitable for systematic comparisons across contact-linguistic constellations as well as different languages. It captures quasi-naturalistic productions across different communicative situations, including informal versus formal, and written versus spoken settings.  
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The elicitation comprised two sessions (one in Kurmanji as a family language and one in Turkish as the majority language of the society; the latter forms the basis of the \tcode{turk\_oghuz\_ankara} data set in WOWA), with at least three days between the sessions. Participants were shown a short video of a car accident and were asked to imagine themselves having witnessed it. After that they were asked to recount the incident in four different imagined situations: to a friend via a \textit{WhatsApp} voice message (informal spoken), to a friend via a \textit{WhatsApp} text message (informal written), to the police via a voice mail (formal spoken), to the police in a form of a written witness report (formal written). In order to exclude a possible effect of priming, we balanced the order of the situations and the order of the languages. Only informal spoken productions were included in this analysis.

Some issues in coding: In several cases, prepositions were omitted in Kurmanji data. In such cases, the role of a nominal constituent with omitted preposition was tagged according to the semantic meaning of the utterance. No language specific tags were introduced.
