Phonemic Text Transcription Enhances Automated Morpheme Detection: The Importance of Knowing Which Information is Used From the Input

Hagen Peukert. Phonemic Text Transcription Enhances Automated Morpheme Detection: The Importance of Knowing Which Information is Used From the Input. In Sylvia Melzer, Jost Gippert, Stefan Thiemann, Hagen Peukert, editors, Proceedings of the Workshop on Humanities-Centred Artificial Intelligence co-located with 44th German Conference on Artificial Intelligence, September 27 - October 1, 2021: Berlin, Germany (KI2021), Virtual Event, Berlin, Germany, September 28, 2021. Volume 3093 of CEUR Workshop Proceedings, pages 4-12, CEUR-WS.org, 2021. [doi]

@inproceedings{Peukert21-0,
  title = {Phonemic Text Transcription Enhances Automated Morpheme Detection: The Importance of Knowing Which Information is Used From the Input},
  author = {Hagen Peukert},
  year = {2021},
  url = {http://ceur-ws.org/Vol-3093/paper1.pdf},
  researchr = {https://researchr.org/publication/Peukert21-0},
  cites = {0},
  citedby = {0},
  pages = {4-12},
  booktitle = {Proceedings of the Workshop on Humanities-Centred Artificial Intelligence co-located with 44th German Conference on Artificial Intelligence, September 27 - October 1, 2021: Berlin, Germany (KI2021), Virtual Event, Berlin, Germany, September 28, 2021},
  editor = {Sylvia Melzer and Jost Gippert and Stefan Thiemann and Hagen Peukert},
  volume = {3093},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}