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“Die Sprach-Checker” (Eng. “Language Checkers”) are young citizen scientists from Mannheim’s highly diverse district Neckarstadt-West. Together with linguists, they investigate a tremendous treasure: their own multilingualism. They are exploring and (re)discovering their own languages and the other languages used in their environment while documenting and reflecting on their everyday experiences in and with different linguistic practices. Our aim is to raise awareness of their strengths and to promote appreciation for their language biographies, thus fostering a sense of identification with one’s own linguistic surroundings. Such a joint research endeavour offers empirical opportunities to address (linguistic) issues of societal relevance by collecting authentic data from the multicultural district and involving its residents and local stakeholders. In this paper, we will provide insights regarding the project’s background, conception, and outcomes. We address everyone who is planning or conducting a citizen science project with young people, especially children and adolescents, or who works at the interface between science and society.
The paper deals with the process of computer-aided transcription regarding Arabic-German data material for interaction-based studies. First of all, it sheds light upon some major methodological challenges posed by the conversation-analytic approaches: due to current corpus technology, the reciprocity, linearity, and simultaneity of linguistic activities cannot be reconstructed in an analytically proper way when using the Arabic characters in multilingual and bidirectional transcripts. The difficulty of transcribing Arabic encounters is also compounded by the fact that Spoken Arabic as well as its varieties and phenomena have not been standardised enough (for conversation-analytic purposes). Therefore, the second part of this paper is dedicated to preliminary, self-developed solutions, namely a systematic method for transcribing Spoken Arabic.
Der vorliegende Beitrag setzt sich mit dem computergestützten Transkriptionsverfahren arabisch-deutscher Gesprächsdaten für interaktionsbezogene Untersuchungen auseinander. Zunächst werden wesentliche methodische Herausforderungen der gesprächsanalytischen Arbeit adressiert: Hinsichtlich der derzeitigen Korpustechnologie ermöglicht die Verwendung von arabischen Schriftzeichen in einem mehrsprachigen, bidirektionalen Transkript keine analysegerechte Rekonstruktion von Reziprozität, Linearität und Simultaneität sprachlichen Handelns. Zudem ist die Verschriftung von arabischen Gesprächsdaten aufgrund der unzureichenden (gesprächsanalytischen) Beschäftigung mit den standardfernen Varietäten und gesprochensprachlichen Phänomenen erschwert. Daher widmet sich der zweite Teil des Beitrags den bisher erarbeiteten und erprobten Lösungsansätzen ̶ einem stringenten, gesprächsanalytisch fundierten Transkriptionssystem für gesprochenes Arabisch.