Talks and teaching

Talks

  • Dekker, P. & de Boer, B. (2020). Neural Agent-based Models To Study Language Contact Using Linguistic Data. 4th NeurIPS Workshop on Emergent Communication. [poster & abstract]
  • Creten, S., Dekker, P. & Vandeghinste, V. (2020). Linguistic enrichment of historical Dutch using deep learning. Computational Linguistics in the Netherlands 30, Utrecht, 2020. [abstract]
  • Dekker, P., Fannee, M. & de Does, J. (2019). CLARIAH Chaining Search: A Platform for Combined Exploitation of Multiple Linguistic Resources. CLARIN Annual Conference, Leipzig, 2019. [pdf]
  • Dekker, P., Zingano Kuhn, T., Šandrih, B., Zviel-Girshin, R., Arhar Holdt, Š. and Schoonheim, T. (2019). Corpus Cleaning via Crowdsourcing for Developing a Learner’s Dictionary. eLex 2019: Smart Lexicography, 2019.
  • Zingano Kuhn, T., Dekker, P., Šandrih, B., Zviel-Girshin, R., Arhar Holdt, Š. and Schoonheim, T. (2019). Crowdsourcing Corpus Cleaning for Language Learning Resource Development. EuroCALL 2019.
  • Zingano Kuhn, T., Dekker, P., Šandrih, B., Zviel-Girshin, R. (2019). Crowdsourcing corpus cleaning for language learning – an approach proposal. enetCollect 3th annual meeting. Lisbon. 14-15 March 2019 [pdf]
  • Dekker, P. & Schoonheim, T. (2018). When to use PYBOSSA? Case studies on crowdsourcing for Dutch. enetCollect WG1 workshop Gothenburg. 5-7 December 2018. [pdf]
  • Dekker, P. & Schoonheim, T. (2018). Recognizing blends: First experiments with PYBOSSA. enetCollect WG3&WG5 meeting Leiden. 24-25 October 2018. [pdf]
  • Dekker, P. (2018). Reconstructing language ancestry by performing word prediction with neural networks. Thesis defense presentation. University of Amsterdam. 25-01-18. [pdf]
  • Dekker, P. (2017). Reconstructing language ancestry by performing word prediction. Workshop Phylogenetic Methods in Historical Linguistics. Tübingen. 29-03-17. [pdf]

Teaching

Courses

Teaching assistant Evolution of language and music (2017-2018), BSc Psychobiology, UvA

Thesis supervision

  • Silke Creten (2019). Linguistic enrichment of historical Dutch using deep learning. (co-supervised with Vincent Vandeghinste)