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A syntax-based scheme for the annotation and segmentation of German spoken language interactions
(2018)
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.
To date, little is known about prosodic accommodation and its conversational functions in instances of overlapping talk in conversation. A major conversational action that happens in overlap is turn competition. It is not known whether participants accommodate prosodic parameters locally in the overlapped turn (initialisation) or access a repertoire of prosodic patterns that refer to general prosodic parameter norms (normalisation) when competing for the turn in overlap. This paper investigates the initialisation and normalisation of fundamental frequency (f0) and assesses its role as a resource for turn competition in overlap. We drew instances of overlapping talk from a corpus of conversational multi-party interactions in British English. We annotated the overlaps on a competitiveness scale and categorised them by overlap onset position and conversational function. We automatically extracted f0 parameters from the speech signal and processed them into f0 accommodation features that represent the normalising or the initialising use of f0. Using decision tree classification we found that f0 accommodation is only relevant as a turn competitive resource in overlaps that start clearly before a speaker transition. In this turn context, we found that normalising and initialising f0 features can both be relevant turn competitive resources. Their deployment depends on the conversational function of overlap.