@article{Brunner2019,
  author    = {Annelen Brunner},
  title     = {Redewiedergabe – Schritte zur automatischen Erkennung},
  series   = {Zeitschrift f{\"u}r germanistische Linguistik},
  volume    = {47},
  number    = {1},
  publisher = {de Gruyter},
  address   = {Berlin [u.a.]},
  issn      = {1613-0626},
  doi       = {10.1515/zgl-2019-0007},
  url       = {https://nbn-resolving.org/urn:nbn:de:bsz:mh39-87699},
  pages     = {216 -- 248},
  year      = {2019},
  abstract  = {This contribution presents a quantitative approach to speech, thought and writing representation (ST\&WR) and steps towards its automatic detection. Automatic detection is necessary for studying ST\&WR in a large number of texts and thus identifying developments in form and usage over time and in different types of texts. The contribution summarizes results of a pilot study: First, it describes the manual annotation of a corpus of short narrative texts in relation to linguistic descriptions of ST\&WR. Then, two different techniques of automatic detection – a rule-based and a machine learning approach – are described and compared. Evaluation of the results shows success with automatic detection, especially for direct and indirect ST\&WR.},
  language  = {de}
}