A syntax-based scheme for the annotation and segmentation of German spoken language interactions
Unlike corpora of written language where segmentation can mainly be derived from orthographic punctuation marks, the basis for segmenting spoken language corpora is not predetermined by the primary data, but rather has to be established by the corpus...
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Unlike corpora of written language where segmentation can mainly be derived from orthographic punctuation marks, the basis for segmenting spoken language corpora is not predetermined by the primary data, but rather has to be established by the corpus compilers. This impedes consistent querying and visualization of such data. Several ways of segmenting have been proposed, some of which are based on syntax. In this study, we developed and evaluated annotation and segmentation guidelines in reference to the topological field model for German. We can show that these guidelines are used consistently across annotators. We also investigated the influence of various interactional settings with a rather simple measure, the word-count per segment and unit-type. We observed that the word count and the distribution of each unit type differ in varying interactional settings and that our developed segmentation and annotation guidelines are used consistently across annotators. In conclusion, our syntax-based segmentations reflect interactional properties that are intrinsic to the social interactions that participants are involved in. This can be used for further analysis of social interaction and opens the possibility for automatic segmentation of transcripts.
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A study on gaps and syntactic boundaries in spoken interaction
We present a study on gaps in spoken language interaction as a potential candidate for syntactic boundaries. On the basis of an online annotation experiment, we can show that there is an effect of gap duration and gap type on its likelihood of being...
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We present a study on gaps in spoken language interaction as a potential candidate for syntactic boundaries. On the basis of an online annotation experiment, we can show that there is an effect of gap duration and gap type on its likelihood of being a syntactic boundary. We discuss the potential of these findings for an automation of the segmentation process.
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