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Recent years have seen a growing interest in grammatical variation, a core explanandum of grammatical theory. The present volume explores questions that are fundamental to this line of research: First, the question of whether variation can always and completely be explained by intra- or extra-linguistic predictors, or whether there is a certain amount of unpredictable – or ‘free’ – grammatical variation. Second, the question of what implications the (in-)existence of free variation would hold for our theoretical models and the empirical study of grammar. The volume provides the first dedicated book-length treatment of this long-standing topic. Following an introductory chapter by the editors, it contains ten case studies on potentially free variation in morphology and syntax drawn from Germanic, Romance, Uralic and Mayan.
In this paper, we describe a data processing pipeline used for annotated spoken corpora of Uralic languages created in the INEL (Indigenous Northern Eurasian Languages) project. With this processing pipeline we convert the data into a loss-less standard format (ISO/TEI) for long-term preservation while simultaneously enabling a powerful search in this version of the data. For each corpus, the input we are working with is a set of files in EXMARaLDA XML format, which contain transcriptions, multimedia alignment, morpheme segmentation and other kinds of annotation. The first step of processing is the conversion of the data into a certain subset of TEI following the ISO standard ’Transcription of spoken language’ with the help of an XSL transformation. The primary purpose of this step is to obtain a representation of our data in a standard format, which will ensure its long-term accessibility. The second step is the conversion of the ISO/TEI files to a JSON format used by the “Tsakorpus” search platform. This step allows us to make the corpora available through a web-based search interface. As an addition, the existence of such a converter allows other spoken corpora with ISO/TEI annotation to be made accessible online in the future.