SEGCOR is an ANR-DFG project concerning the segmentation of oral corpora of spoken interaction in French and German.


The project aims to develop a method of segmentation that is adequate for the analysis of data from talk-in-interaction at different levels and for various communities of researchers. It evaluates and further develops approaches to segmentation put forward in the literature on conversation analysis, interactional linguistics, pragmatics and corpus linguistics by applying them to samples from three large collections of French and German audio and video recordings of various interaction types (the databases CLAPI, ESLO and FOLK, respectively). The project will result in a systematic segmentation guideline applicable across different interaction types and to French as well as German data.
The project is the first approach to segmentation that is both based on comprehensive data treatment of a sufficiently large and diverse empirical basis and takes into account the cross-linguistic dimension. The results will improve the usability of the three databases, contribute to best practices for the work with oral corpora on a more general level, and enhance our understanding of structures of talk-in-interaction. The project will thus address current needs in conversation analysis, corpus-based language teaching, contrastive analysis of spoken German and French and in the development of language technology for interaction data.


The project is financed by the ANR « Agence Nationale de la Recherche » and the DFG « Die Deutsche Forschungsgemeinschaft » with the non-thematic program « Call for French and German projects in Humanities and Social Sciences.

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