Andreas van Cranenburgh

Zoekresultaten

• 2024

  Computational methods for the analysis of fiction genres

  van Cranenburgh, A., Allen, L., Sharoff, S. & van Dalen-Oskam, K., 30-sep.-2024, Multidisciplinary Views on Discourse Genre: A Research Agenda. Stukker, N., Bateman, J. A., McNamara, D. & Spooren, W. (uitgave). Routledge, blz. 135-167 33 blz.

  Onderzoeksoutput › Academic › peer review

  • Linguistic Features 100%
  • Computational Methods 100%
  • Genre Fiction 100%
  • Corpus 100%
  • genre fiction 100%

• Dutch Strong and Weak Pronouns as a Stylistic Marker of Literariness

  van Cranenburgh, A., 2024, Digital Stylistics in Romance Studies and Beyond. Hesselbach, R., Calvo Tello, J., Henny-Krahmer, U., Schöch, C. & Schlör, D. (uitgave). Heidelberg University Publishing, blz. 217-234 18 blz.

  Onderzoeksoutput › Academic › peer review

  Open Access

  Bestand

  • Weak Pronouns 100%
  • Strong Pronouns 100%
  • weak pronouns 100%
  • Qualitative Judgments 33%
  • Naturalistic Data 33%
  14 Downloads (Pure)

• Literary-adapted machine translation in a well-resourced language pair: Explorations with More Data and Wider Contexts

  Toral, A., Cranenburgh, A. V. & Nutters, T., 2024, Computer-Assisted Literary Translation. Rothwell, A., Way, A. & Youdale, R. (uitgave). Routledge, blz. 27-52 26 blz.

  Onderzoeksoutput › Academic › peer review

  Open Access

  Bestand

  • Wide Context 100%
  • Machine Translation 100%
  • Language Pair 100%
  • Data Context 100%
  • DeepL 100%
  2 Citaten (Scopus)

  103 Downloads (Pure)