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While written corpora can be exploited without any linguistic annotations, speech corpora need at least a basic transcription to be of any use for linguistic research. The basic annotation of speech data usually consists of time-aligned orthographic transcriptions. To answer phonetic or phonological research questions, phonetic transcriptions are needed as well. However, manual annotation is very time-consuming and requires considerable skill and near-native competence. Therefore it can take years of speech corpus compilation and annotation before any analyses can be carried out. In this paper, approaches that address the transcription bottleneck of speech corpus exploitation are presented and discussed, including crowdsourcing the orthographic transcription, automatic phonetic alignment, and query-driven annotation. Currently, query-driven annotation and automatic phonetic alignment are being combined and applied in two speech research projects at the Institut für Deutsche Sprache (IDS), whereas crowdsourcing the orthographic transcription still awaits implementation.
The paper presents practices in the compilation of FOLK, the Research and Teaching Corpus of Spoken German, a large collection of spontaneous verbal interaction from diverse discourse domains. After introducing the aims and organisational circumstances of the construction of FOLK, the general idea discussed is that good practices cannot be developed without considering methodological, technological and organisational aspects on equal footing. Starting from this idea, this paper inspects more closely some actual practices in FOLK, namely the handling of legal (especially privacy protection) issues, the decisions taken for the transcription and annotation workflow, and the question of how to best disseminate a corpus like FOLK. The final section sketches some possible future improvements for practices in FOLK.